speech processing IEEE PAPER
Nonlinear speech processing: overview and applications
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Abstract This article presents an overview of various nonlinear processing techniques applied to speech signals. Eevidence relating to the existence of nonlinearities in speech is presented, and the main differences between linear and nonlinear analysis are
Sparse linear predictors for speech processing
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Abstract This paper presents two new classes of linear prediction schemes. The first one is based on the concept of creating a sparse residual rather than a minimum variance one, which will allow a more efficient quantization; we will show that this works well in presence
Usefulness of phase in speech processing
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Abstract It is a common belief in speech community that the short-time phase spectrum plays very little (or, no) role in human perception tasks as well as in automatic speech recognition systems. In this paper, the usefulness of phase information is explored in human speech
INTERSPEECH 2014 special session: phase importance in speech processing applications
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Abstract In many speech processing applications, the spectral amplitude is the dominant information while the use of phase spectrum is not so widely spread. In this paper, we present an overview on why speech phase spectrum has been neglected in the
A graphical model for multi-sensory speech processing in air-and-bone conductive microphones.
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Abstract In continuation of our previous work on using an air-and-boneconductive microphone for speech enhancement, in this paper we propose a graphical model based approach to estimating the clean speech signal given the noisy observations in the air
A multimedia platform for audio-visual speech processing.
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ABSTRACT In the framework of the European ESPRIT Project MIAMI (" Multimodal Integration for Advanced Multimedia Interfaces"), a platform has been developed at the ICP to study the various combinations of audiovisual speech processing, including real-time
Speech and language processing
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Page 1. Speech and Language Processing An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition Second Edition Daniel Jurafsky31 1 Introduction 35 1.1 Knowledge in Speech and Language Processing 36 1.2 Ambiguity 38
Phonological constraints in speech processing
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A growing body of literature following Pierrehumbert (1994) addresses the notion of gradient phonological well-formedness. 1 Gradience is the phenomenon that native subjects' intuitions about the well-formedness of forms fall on a scale with multiple values, rather
Preliminary thoughts on'phonologization'within an exemplar-based speech processing system
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This paper discusses a particular problem attendant upon the hypothesis that phonological patterns emerge directly from considerations of phonetic functionality: the problem is that phonological patterns frequently display stability across tokens and contexts, where direct
Digital speech processing
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Page 1. 1 Digital SpeechProcessing Professor Lawrence Rabiner UCSB Dept. of Electrical and Computer Engineeringlanguage translation, speed-up/slow-down Page 16. 16 Digital Speech Processing Mathematics, derivations, signal processing Basic understanding
Recognition of speech in additive and convolutional noise based on RASTA spectral processing
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RASTA speech processing was originally developed to reduce the sensitivity of recognizers to frequency characteristics of an operating environment (ie, to convolutional noise). RASTA does this by band-pam filtering time trajectories of logarithmic parameters of speech (eg, Although our sense of hearing is exploited for many ends, its communicative function stands paramount in our daily lives. Humans are, by nature, a vocal species and it is perhaps not too much of an exaggeration to state that what makes us unique in the animal kingdom is
From traditional Chinese phonology to modern speech processing realization of tone and intonation in standard Chinese
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ABSTRACT To understand deeply the variations of tone and intonation in Spoken Chinese target of study. The methods of description and classification of Chinese tones and intonations in traditional phonology have been proved useful for designing
Effective speech processing for various impaired listeners
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Abstract Normal hearing listeners are able to understand speech with different types of degradation, because speech has redundancy in the spectro-temporal domains. On the other hand, hearing impaired listeners have less such capability. Because of this, speech
Impaired persons facilities based on a multi-modality speech processing system
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ABSTRACT We introduce a speech processing system that uses a low-cost PC board to be plugged into an 8 bit ISA bus expansion slot. The board is based on the ATT's DSP32C signal processor. The advantage of this configuration is that we can execute many
On the application of the unscented Kalman filter to speech processing
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ABSTRACT In a series of recent studies a new approach for applying the Kalman filter to nonlinear system, referred to as Unscented Kalman filter (UKF), was proposed. In this contribution1 we apply the UKF to several speech processing problems, in which a model
Speech Processing Using Joint Features Derived from the Modified Group Delay Function.
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ABSTRACT This paper discusses the significance of joint cepstral features derived from the modified group delay function and MFCC in speech processing. We start with a definition of cepstral features derived from the modified group delay function called the modified group
Processing affected speech within human machine interaction.
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Abstract Spoken dialog systems (SDS) integrated into human-machine interaction interfaces is becoming a standard technology. Current state-of-the-art SDS, usually, is not able to provide for the user a natural way of communication. Existing automated dialog systems
Validation of an automatic lip-tracking algorithm and design of a database for audio-video speech processing
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ABSTRACT: We have recently proposed a new algorithm for the automatic extraction of lip feature points. Based on their positions, parameters describing the shape of the mouth are derived. Since the algorithm is based on a stereo vision face tracking system, all
Speech processing with linear and neural network models
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Summary T h is dissertation investigates some aspects of speech processing using linear models and single hidden layer neural net works. T he study is divided into two parts which focus on speech modelling and speech classification respectively. The first part
Building a Corpus of Natural Speech and Tools for the Processing of Expressive Speech the JST CREST ESP Project
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Abstract This paper presents details and progress of the JST/CREST ESP Project, part of the Information Technology for Life in an Advanced Media Society series of research projects. The purpose of the research is to determine the acoustic variables that indicate different
Use of the event-related P300 potential in cochlear implant subjects for the study of strategy-dependent speech processing
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The Netherlands Key Words Event-related potentials P3()() Auditory late cortical potentials Cochlear implant Speech-coding strategies Speech
Audio-visual speech processing
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The mouth, lips, tongue, teeth, and jaw systematically shape the pattern of sound that a talker produces. That is, the production of speech sounds has visible consequences. What bearing does this have on our
The cognate facilitation effect in bilingual speech processing; the case of Russian-English bilingualism
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Abstract: Cross-language cognates (words with similar form and meaning in different languages) are of special interest for designing a model of the bilingual lexicon because there is a possibility that they may have overlapping representations between the two
Evaluation of speech processing schemes using binaural dichotic presentation to reduce the effect of masking in hearing-impaired listeners
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Abstract Binaural dichotic presentation schemes help in increasing the intelligibility of speech for persons with moderate bilateral sensorineural hearing impairment. Spectral splitting, with comb filters has helped in improving the perception of place feature.
Automatic assignment of part-of-speech to out-of-vocabulary words for text-to-speech processing.
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ABSTRACT Working with large corpora of text highlights the need for the special treatment of Out-Of-Vocabulary (OOV) words. This paper describes a strategy for processing OOV
Analysis of physiologically-motivated signal processing for robust speech recognition.
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Abstract This paper discusses the relative impact that different stages of a popular auditory model have on improving the accuracy of automatic speech recognition in the presence of additive noise. Recognition accuracy is measured using the CMU SPHINX-III speech
A speech processing front-end with eigenspace normalization for robustspeech recognition in noisy automobile environments.
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Abstract A new front-end processing scheme for robust speech recognition is proposed and evaluated on the multi-lingual Aurora 3 database. The front-end processing scheme consists of Mel-scaled spectral subtraction, speech segmentation, cepstral coefficient extraction,
Papers in speech communication: Speech processing
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Paper 16. J. Makhoul, S. Roucos, and H. Gish (1985), Vector quantization in speech coding. Proc. IEEE 73, 1551-1588 Paper 17. MR Schroeder and BS Atal (1985), Code-excited linear prediction (CELP): High-quality speech at very low bit rates. Proc. IEEE-ICASSP, Tampa,
Ann Bull. RILP, No. 14, 65-72 (1980) NONLINEAR FREQUENCY COMPRESSIONSPEECH PROCESSING BASED ON THE PARCOR ANALYSIS-SYNTHESIS
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In a previous paper, we proposed a speech processing technique for synthesizing frequency- compressed speech for the hearing impaired1). The method is based on the PARCOR analysis-synthesis method. Intelligibility tests of speech processed by this method were
Improving the noise-robustness of mel-frequency cepstral coefficients forspeech processing
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Abstract In this paper we study the noise-robustness of mel-frequency cepstral coefficients (MFCCs) and explore ways to improve their performance in noisy conditions. Improvements based on a more accurate model of the early auditory system are suggested to make the
Towards rapid language portability of speech processing systems
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ABSTRACT In recent years, more and more speech processing products in several languages have been widely distributed all over the world. This fact reflects the general believe that speech technologies have a huge potential to let everyone participate in
Speech Processing for Communications: what's new
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Abstract Speech is one of the most complex signals an engineer has to handle. It is thus not surprising that its automatic processing has only recently found a wide market. In this paper we analyze the latest developments in speech coding, synthesis and recognition, and
Analysis of speech processing strategies in cochlear implants
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Abstract: Cochlear implants can restore partial hearing to profoundly deaf people; the main function of these prostheses is to electrically stimulate the auditory nerve using an electrode array inserted in the cochlea. The acoustic signal is picked up by a microphone and
Modeling of variations in cepstral coefficients caused by F0 changes and its application to speech processing.
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ABSTRACT In this paper, the correlation between spectral variations and F0 changes in a vowel sound is rstly analyzed, where the variations are also compared to VQ distortions calculated in a ve vowel space. It is shown that the F0 change approximately by a half
Auditory models for speech processing
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ABSTRACT Computational modeling of the auditory periphery has become an integral part of hearing and speech research in recent years. This reects the importance of computers and computational models as a research tool for experimenting exibly in the domain of
Cortical activity of children with dyslexia during natural speech processing: evidence of auditory processing deficiency
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ABSTRACT Children with dyslexia have difficulties with phonological processing. It is assumed that deficits in auditory temporal processing underlie the phonological difficulties of dyslectic subjects (ie the processing of rapid acoustic changes that occur in speech). In
Automatic lips reading for audio-visual speech processing and recognition
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Abstract This contribution is about the method for automatic lips reading from the video picture. The results of this automatic method are used for the next audio-visual speech processing and recognition. The simple image processing method for finding of the
Selective visual perception driven by cues from speech processing
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At present, there is a large number of systems dealing with various aspects of understanding either speech or vision. Such systems are, however, relatively seldom capable of a complex processing that begins with sensory data and arrives by way of subsymbolic processing
Resources for Automatic Speech Processing and Linguistic Studies.
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Abstract In the present contribution we start with an overview of the linguistic situation of Luxembourg. We then describe specificities of spoken and written L tzebuergesch, with respect to automatic speech processing. Multilingual code-switching and code-mixing,
Speech processing applications using an AM-FM modulation model
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A b stract I n this thesis, the A M-FM mod u lation sp eech model and mu ltiband demod u lation are a pp lied to sp eech analysis and coding. T he A M-FM model re p resents the sp eech signal as asu mo f am p lit u de mod u lated (AM) and f re qu ency mod u lated (FM)
Speech processingtext-independent automatic person verification
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Identity verification (or authentication) systems pervade our every day life. For example, Automatic Teller Machines (ATMs) employ simple identity verification where the user is asked to enter their password after inserting their ATM card. If the password matches the
Neologos: an optimized database for the development of new speech processing algorithms.
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Abstract The Neologos project is a speech database creation project for the French language, resulting from a collaboration between universities and industrial companies and supported by the French Ministry of Research. The goal of Neologos is to re-think the
Effective visually-derived Wiener filtering for audio-visual speech processing.
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Abstract This work presents a novel approach to speech enhancement by exploiting the bimodality of speech and the correlation that exists between audio and visual speech features. For speech enhancement, a visually-derived Wiener filter is developed. This
Vestibular hearing and speech processing
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Vestibular hearing in human is evoked as a result of the auditory sensitivity of the saccule to low-frequency high-intensity tone. The objective was to investigate the relationship between vestibular hearing using cervical vestibular-evoked myogenic potentials (cVEMPs) and
'houston, we have a solution': using NASA apollo program to advance speechand language processing technology.
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Abstract NASA's Apollo program stands as one of mankind's greatest achievements in the 20th century. During a span of 4 years (from 1968 to 1972), a total of 9 lunar missions were launched and 12 astronauts walked on the surface of the moon. It was one the most
Methods and application of phonetic label alignment in speech processingtasks
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Abstract The paper deals with the problem of automatic phonetic segmentation of speech signals, namely for speech analysis and recognition purposes. Several methods and approaches are described and evaluated from the point of view of their accuracy. A
Combined front-end signal processing for in-vehicle speech systems.
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Abstract In this paper, we investigate the integration of two processing methods to improve speech quality for invehicle speech systems: multi-sensor beamforming and constrained iterative (Auto-LSP) speech enhancement. The intent is to establish an intelligent
Processing speed and timing in aging adults: Psychoacoustics, speechperception, and comprehension
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Abstract Age-related differences are observed on many measures of both perceptual and cognitive processing. Indeed, strong correlations between basic measures of hearing and vision and age-related variations in intelligence have highlighted the powerful links
Robust distant speech recognition based on position dependent CMN using a novel multiple microphone processing technique.
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Abstract In a distant environment, channel distortion may drastically degrade speech recognition performances. In this paper, we propose a robust multiple microphone speech processing approach based on position dependent Cepstral Mean Normalization (CMN).
Time course of auditory cortex activation during speech processing
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ABSTRACT The purpose of the studies summarized in this report was to determine the time course of auditory cortex involvement in speech and language processing in the context of auditory object formation. Forty-one subjects took part in. the three studies summarized in
A Multi-sensor Speech Database with Applications towards Robust Speech Processing in hostile Environments.
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Abstract In this paper, we present a database with speech in different types of background noises. The speech and noise were recorded with a set of different microphones and including some sensors that pick up the speech vibrations by making contact with the skull
Auditory neural processing of speech
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Abstract Recordings from single auditory neurons in response to speech and speech-like stimuli provide detailed descriptions of neural processing in the earliest stages of speech perception. These studies show that a great deal of information about both the formant
An educational and experimental workbench for visual processing of speechdata.
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ABSTRACT In the article the focus is put on educational aspects of the speech processing science. A set of tools that have been developed with the aim at presenting, visualizing and explaining basic topics of speech recognition is described. The set consists of programs,
Non-Gaussian, Non-stationary and Nonlinear Signal Processing Methods-with Applications to Speech Processing and Channel Estimation
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Abstract The Gaussian statistic model, despite its mathematical elegance, is found to be too factitious for many real world signals, as manifested by its unsatisfactory performance when applied to non-Gaussian signals. Traditional non-Gaussian signal processing techniques,
Speech processing in the networked home environment-a view on the amigo project.
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Abstract Full interoperability of networked devices in the home has been kind of an elusive concept for quite some years. Amigo, an Integrated Project within the EU 6-th framework program, tries to make home networking a reality by addressing two key issues: First, it
WISPR: Speech processing resources for Welsh and Irish
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ABSTRACT This paper describes an innovative new project to develop speech processing resources for the Welsh and Irish languages. Funded by the EU's Interreg programme, and by the Welsh Language Board, it is a collaboration between the University of Wales,
The development of speech processing strategies for the University of Melbourne/Cochlear multiple channel implantable hearing prosthesis. Special Issue:
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Abstract The speech processing strategies that have been used with the University of Melbourne/Cochlear multiple channel implantable hearing prosthesis have been developed systematically from the inaugural one that extracted the second formant and presented
Warped linear prediction (WLP) in speech and audio processing
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WARPED LINEAR PREDICTION (WLP) IN SPEECH AND AUDIO PROCESSING Unto K. Espoo, Finland ABSTRACT In this paper linear prediction
The use of low-frequency ultrasonics in speech processing
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Audible sound analysis is assumed to be an integral part of any speech processing system, since the audible frequency ranges are naturally used for vocal communications. Inaudible sound, either ultrasonic or subsonic, is less widely researched although sub-sonics (also
Phonetic feature analyzers and the processing of speech in infants
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Recently, Kaplan and Kaplan [1971] asked the question:" Is there such a thing as a prelinguistic child" The traditional answer was a rather emphatic yes: for example, the first months of a child's life are generally characterized by nonlinguistic vocalizations [
Envelope information in speech processing: acoustic-phonetic analysis vs. auditory figure-ground segregation.
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Abstract Long-term envelope modulations ( 100Hz) influence the identification of speech in noise. It is not clear, however, whether this influence only takes place at the level of acoustic- phonetic analysis (phonetic identification) or if envelope fluctuations may also help in
Stereo Vision Lip-Tracking for Audio-Video Speech Processing
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ABSTRACT We present the first results from applying a recently proposed novel algorithm for the robust and reliable automatic extraction of lip feature points to an audio-video speech data corpus. This corpus comprises 10 native speakers uttering sequences that cover the
Microphone array processing for robust speech recognition
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Abstract Speech recognition performance degrades significantly in distant-talking environments, where the speech signals can be severely distorted by additive noise and reverberation. In such environments, the use of microphone arrays has been proposed as
Time-correlation analysis of non stationary signals with application to speech processing
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Abstract This paper proposes a new method of displaying and analyzing evolutionary correlation structure of nonstationary signals. The method, called time-correlation analysis (TCA), is based on a filter-bank approach for stochastic signal characterization known as
Two time scales in speech processing
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The basic units into which the acoustic speech signal is perceptually segmented is an issue of central importance for speech research. A growing body of research points to the perceptual importance of both the phonetic segment and the syllable during the course of
Speech and language processing
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The idea of giving computers the ability to process human language is as old as the idea of computers themselves. This book is about the implementation and implications of that exciting idea. We introduce a vibrant interdisciplinary field with many names
Speech Processing strategies based on the sinusoidal speech model for the profoundly Hearing Impaired
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Abstract Average speech recognition for profoundly sensorineural hearing impaired subjects using conventional high-power hearing devices is very restricted. For most of these people, speech communication is very limited, and they use their hearing devices only as support
Unsupervised speech processing with applications to query-by-example spoken term detection
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Abstract This thesis is motivated by the challenge of searching and extracting useful information from speech data in a completely unsupervised setting. In many real world speech processing problems, obtaining annotated data is not cost and time effective. We
Inductive inference in non-native speech processing and learning
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Abstract: Despite extensive research on language acquisition, our understanding of how people learn abstract linguistic structures remains limited. In the phonological domain, we know that perceptual reorganization in infancy results in attuning to native language (L1)
Pulse density representation of spectrum for statistical speech processing.
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Abstract This study investigates a new spectral representation that is suitable for statistical parametric speech synthesis. Statistical speech processing involves spectral averaging in the training process; however, averaging spectra in the domain of conventional speech
Non-verbal speech processing for a communicative agent.
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Abstract A believable life-like agent must appear to understand what is said to it, or what is being said around it, even if this is not actually the case. It must be able to follow a conversation and to understand what is happening in a discourse, even though the verbal
Physiologically-motivated synchrony-based processing for robust automaticspeech recognition.
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Abstract This paper describes the structure and performance of a new signal processing scheme, motivated by the physiology of the peripheral auditory system, that improves speech recognition accuracy in the presence of broadband noise. An important attribute of
Real-Time Emotional Speech Processing for Neurorobotics Applications.
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Abstract The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the underlying prosodic features naturally understood by humans. The goal of emotional
Deaf Speech Assessment using digital processing techniques
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ABSTRACT This paper mainly deals with analysis on acoustical characteristics of speeches of deaf people for the purpose of increasing the speech recognition rate. Since speech to text or sound system for a normal speaker is available, by designing a speech to text or
Perceptually inspired signal-processing strategies for robust speechrecognition in reverberant environments
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Automatic speech recognition has only recently emerged from the research laboratory as a viable technology. Currently, several companies are marketing document dictation software for desktop computers that can recognize tens of thousands of different words, and it is
Finnish and Estonian speech applications developed on an object-oriented speech processing and database system
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Abstract QuickSig, an object oriented signal processing system that represents a modern tool with which to perform DSP related studies, is presented. It empowers speech scientists to operate in a flexible and motivating environment where signals, filters, spectrograms,
Unattended speech processing: Effect of vocal-tract length
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Abstract: recently demonstrated that an unattended message is able to prime by 28 ms a simultaneously presented attended message when the two messages have a different F0 range. This
Bionic wavelet transform based on speech processing dedicated to a fully programmable stimulation strategy for cochlear prostheses
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Abstract: This study presents a Digital Speech Processing algorithm based respectively on Continuous Wavelet Transform (CWT) and Bionic Wavelet Transform (BWT), which are applied for cochlear prostheses to stimulate properly cochlea's nervous cells of totally or
Processing a speech corpus for CHATR synthesis
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Abstract This paper discusses multi-level labelling of sounds in speech and reviews the segment selection process in the CHATR speech synthesis system [2]. It shows how the system can be refined so that all the information required for the generation of a With the authority of his work, the concept of statistics was banned from tra- ditional linguistics for many years. When talking to linguists and linguistics- oriented researchers from artificial intelligence, 1 found a lot of aversion to statis- tical concepts. In my view, the crucial
Neural mechanisms of speech processing: time warp invariance by adaptive integration time
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In speech processing, perceptually relevant temporal cues can require resolution of spectral transitions with millisecond precision. However, dynamic variations in speaking rate on a scale of hundreds of milliseconds introduce time warp of spoken syllables, ranging from
A hungarian child database for speech processing applications.
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ABSTRACT This paper introduces a new Hungarian database containing spoken material recorded from children. The aspects, which were taken into consideration under the selection of the speakers (and the composition of the speech database corpus), and the
Signal processing for young child speech language development.
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ABSTRACT Speech signal processing and other man-machine interaction technologies have been developed for improved child-computer interaction for education, entertainment, as well as other applications [1, 2]. However, for very young children (in the age range of 0
Speech processing of the letter 'zha'in Tamil Language with LPC
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Abstract: Wideband speech signals of the letter 'zha' in Tamil language of 3 males and 3 females were coded using an improved version of Linear Predictive Coding (LPC). The sampling frequency was at 16 kHz and the bit rate was at 15450 bits per second, where
Perception of affect in speech-towards an automatic processing of paralinguistic information in spoken conversation.
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Abstract This paper reports a study of the perception of affective information in conversational speech utterances and shows that there are consistent differences in the acoustic features of same-word utterances that are perceived as having different
Dual channel speech enhancement using Hadamard-LMS algorithm with DCT pre-processing technique
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Abstract: Speech enhancement and noise reduction have wide applications in speech processing. They are often employed as a pre-processing stage in various applications. Two points are often required to be considered in signal de-noising applications: eliminating
Digital speech processing design for FPGA architecture for auditory prostheses
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Abstract:This paper represents the discussion on implementation of speech processing algorithm for FPGA architecture for Auditory Prostheses. The evolution of Field Programmable Gateway Array (FPGA) devices to the current state-of-art System-On-Chip (
MATLAB toolbox for audiovisual speech processing.
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Abstract Audiovisual speech processing has reached a stage of maturity where there are now numerous computational procedures needed to measure and assess multimodal signals. However, as is often the case, the results of these procedures are better known
Java Visual Speech Components for Rapid Application Development of GUI Based Speech Processing Applications.
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Abstract In this paper, we describe a new Java framework for an easy and efficient way of developing new GUI based speech processing applications. Standard components are provided to display the speech signal, the power plot, and the spectrogram. Furthermore,
An information-processing approach to speech perception
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ABSTRACT The assumptions of information-processing are that: perception occurs over time, is distributed over several stages of analysis, involves several different kinds of memory, and is not infinitely efficient. This paper takes an information processing
A pitch-based spectral enhancement technique for robust speech processing.
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Abstract This paper presents a new pitch-based spectral enhancement algorithm on voiced frames for speech analysis and noiserobust speech processing. The proposed algorithm determines a time-warping function (TWF) and the speaker's pitch with high precision,
A fully data parallel WFST-based large vocabulary continuous speechrecognition on a graphics processing unit.
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Abstract Tremendous compute throughput is becoming available in personal desktop and laptop systems through the use of graphics processing units (GPUs). However, exploiting this resource requires re-architecting an application to fit a data parallel programming
Online processing of speech and social information in early word learning
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Abstract Although word learning unfolds over days, weeks, and months, individual naming events are over in a matter of seconds. To benefit from a naming event, children must at least hear the label and see the referent. We tested 1-, 2-, 3-, and 4-year old children in a
Intelligent Call Manager Based on the Integration of Computer Telephony, Internet and Speech Processing
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Abstract In this paper, an Intelligent Call Manager which integrates the techniques of computer telephony, internet and speech processing is proposed. This system can answer an incoming call, transfer the call to an extension, send a voice mail and call the pager.
Application of adaptive digital signal processing to speech enhancement for the hearing impaired
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Abstract--A major complaint of individuals with normal hearing and hearing impairments is a reduced ability to understand speech in a noisy environment. This paper describes the concept of adaptive noise cancelling for removing noise from corrupted speech signals.
A distributed, yet symbolic model of text-to-speech processing
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Abstract In this paper, a data-oriented model of text-to-speech processing is described. On the basis of a large text-to-speech corpus, the model automatically gathers a distributed, yet symbolic representation of subword-phoneme association knowledge, representing this
Investigation on unknown word processing and strategies for spontaneousspeech understanding.
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ABSTRACT In this paper, an unknown word processing method is investigated as an approach to achieve the robust spontaneous speech understanding. The unknown words are detected by a subword-unit based decoder and the process is incorporated into the
Zeros of the z-transform (ZZT) representation and chirp group delayprocessing for the analysis of source and filter characteristics of speech signals
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Abstract This study proposes a new spectral representation called the Zeros of Z-Transform (ZZT), which is an all-zero representation of the z-transform of the signal. In addition, new chirp group delay processing techniques are developed for analysis of resonances of a This special issue aims to cover some problems related to non-linear and non-conventional speech processing. The origin of this volume is in the ISCA Tutorial and Research Workshop on Non-Linear Speech Processing, NOLISP'09, held at the Universitat de Vic (Catalonia,
On the rapid perceptual processing of speech: From signal information to phonetic and grammatical knowledge
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Abstract There is one aspect of normal speech comprehension that simultaneous interpreting highlights in particular: its speed. It appears fair to say that speech researchers are still far from being able to propose detailed algorithmic accounts of how listeners go
A French Phonetic Lexicon with Variants for Speech and LanguageProcessing.
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Abstract This paper reports on a project aiming at the semi-automatic development of a large orthographic-phonetic lexicon for French, based on the Multext dictionary. It details the various stages of the project, with an emphasis on the methodological and design aspects
Integrating multimodal language processing with speech recognition
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ABSTRACT One of the critical challenges facing nextageneration humana computer interfaces concerns the development of effective language processing techniques for utterances distributed over multiple input modes such as speech, touch, and gesture. The most of the applications of digital speech processing deal with speech or speaker pattern recognition. To understand the practical implementation of the speech or speaker recognition techniques, there is the need to understand the concepts of digital speech
Facial expression recognition for speaker using thermal image processing andspeech recognition system
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Abstract:-I investigated a method for facial expression recognition for a human speaker by using thermal image processing and a speech recognition system. In this study, we improved our speech recognition system to save thermal images at the three timing
in Nonlinear Speech Processing
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The last meeting of the Management Committee of the COST Action 277:Nonlinear Speech Processing was held in during the Workshop on Nonlinear Speech Processing (WNSP). This was the last event of COST
Implementation of FIR filter using adjustable window function and its application in speech signal processing
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Abstract:Digital filter plays an important role in digital signal processing applications. Digital filter can also be applied in speech processing applications, such as speech filtering, speech enhancement, noise reduction and automatic speech recognition among others.
High order statistic estimators for speech processing
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Abstract: Speech is the easiest mean of communication for human. The reason why the vocal command along with speech recognitions are more and more used in many applications. Especially in automotive industries, speech recognition algorithms are used
Simulation and Comparison of Noise Cancellation techniques in Speech Processing
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Abstract: In this study we will develop a speech denoising interface which will be used for recognition, synthesis and coding applications. This interface developed under Matlab, uses wavelets transform. The results of this method are applied on several kind of noises then
Electrophysiological insights into language and speech processing
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ABSTRACT Event related brain potentials (ERPs) have been used to study language and speech processing. Two distinct ERP-effects will be discussed:(1) The N400-effect. This effect is related to the integration of word meaning into an utterance level representation;(
Comprehension of non-native speech: inaccurate phoneme processing and activation of lexical competitors.
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ABSTRACT Native speakers of Dutch with English as a second language and native speakers of English participated in an English lexical decision experiment. Phonemes in real words were replaced by others from which they are hard to distinguish for Dutch
Combined temporal and spectral processing methods for speechenhancement
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Speech signals from the uncontrolled environments may contain degradation components along with the required speech components. The degradation components include background noise, reverberation and speech from other speakers. The degraded speech
Various speech processing techniques for multimedia applications
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ABSTRACT In this paper, various speech processing techniques in time, time-frequency and timescale domains for the purposes of recognition and compression are displayed. The examination of these representations in a variety of work that have been accomplished in
Speech-recognizer-based filter optimization for microphone array processing
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Abstract:Conventional microphone-array processing schemes used for speech recognition enhance the output waveform using optimization criteria that are independent of the recognition system. We present a new filter-and-sum array processing algorithm in which
Defining constraints for multilinear speech processing.
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Abstract This paper presents a constraint model for the interpretation of multilinear representations of speech utterances which can provide important fine-grained information for speech recognition applications. The model uses explicit structural constraints
Robust speech processing as an inverse problem
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This section addresses the inverse problem in robust speech processing. A problem that speaker and speech recognition systems regularly encounter in the commercialized applications is the dramatic degradation of performance due to the mismatch of the
Speech Processing Technology in Second Language Testing
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Abstract The purpose of the study described in this article was to investigate the effectiveness of one application of speech recognition technology in the assessment of spoken English and overall English proficiency. The application referred to is called
How speech processing affects our attention to visually similar objects: Shape competitor effects and the visual world paradigm
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Abstract It was investigated how spoken language is mapped onto the mental representations of objects in the visual field. Specifically, the visual world paradigm was used to test the hypothesis that during 'passive'listening tasks attention is directed more
Exploring differences between phonetic classes in Sleep Apnoea Syndrome Patients using automatic speech processing techniques
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Abstract Early detection of obstructive sleep apnoea syndrome (OSA syndrome) based on automatic speech processing techniques has become of great interest due to the expensive and timeconsuming tests of current diagnosis methods. Pioneer research on this field has
DUMAS-Adaptation and Robust Information Processing for Mobile SpeechInterfaces
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Abstract In this paper we present the EU-IST project DUMAS (Dynamic Universal Mobility for Adaptive Speech Interfaces), and discuss adaptation and robust information processing as realized in AthosMail, a speechbased multilingual email application developed within the
Assessment and prediction of speech transmission quality with an auditoryprocessing model
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Abstract In this thesis, an objective prediction method for the transmission quality of lowbit rate speech coding algorithms is described. A quantitative processing model of the auditory system is employed to objectively measure the perceptually relevant deviations between
Signal processing for robust speech recognition motivated by auditoryprocessing
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ABSTRACT Although automatic speech recognition systems have dramatically improved in recent decades, speech recognition accuracy still significantly degrades in noisy environments. While many algorithms have been developed to deal with this problem,
A study of mutual front-end processing method based on statistical model for noise robust speech recognition.
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Abstract This paper addresses robust front-end processing for automatic speech recognition (ASR) in noise. Accurate recognition of corrupted speech requires noise robust front-end processing, eg, voice activity detection (VAD) and noise suppression (NS). Typically, VAD
Text processing for text-to-speech systems in Indian languages.
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Abstract To build a natural sounding speech synthesis system, it is essential that the text processing component produce an appropriate sequence of phonemic units corresponding to an arbitrary input text. In this paper we discuss our efforts in addressing the issues of
2-d processing of speech with application to pitch estimation.
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ABSTRACT In this paper, we introduce a new approach to two-dimensional (2-D) processing of the one-dimensional (1-D) speech signal in the time-frequency plane. Specifically, we obtain the shortspace 2-D Fourier transform magnitude of a narrowband
Facilitation or attenuation in the development of speech mode processing Tone perception over linguistic contexts
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ABSTRACT-Perceptual discrimination of Thai tones was tested in three contexts: normal speech, filtered speech, and musical sounds with speakers of Central Thai; speakers of Cantonese, a tonal language of similar complexity; and speakers of English. The inter-
Privacy Preserving Techniques for Speech Processing
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Abstract Speech is perhaps the most private form of personal communication but current speech processing techniques are not designed to preserve the privacy of the speaker and require complete access to the speech recording. We propose to develop techniques for
Interactions in bilingual speech processing
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Experiment 1 investigated whether properties of specific words bilinguals produce eg, cognate status influenced interactions between native (L1) and second language (L2) phonetic systems. Analysis of voice onset times (VOTs) revealed that bilinguals were
Voice signal processing for speech synthesis
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Abstract-Our goal was to build a software application capable to manipulate and analyse speech signal, extract characteristic parameters needed for speech synthesis and to enhance the speech quality. This article presents speech signal parameters used in
Management of auditory processing difficulties: A perspective from speech-language pathology
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In recent years, central auditory processing disorder (CAPD) has become a recognized clinical entity within the field of communicative disorders. More and more children are being diagnosed with CAPD or, in other cases, are described with behaviors that are compatible
Study of the influence of noise pre-processing on the performance of a low bit rate parametric speech coder.
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ABSTRACT This paper describes a prospective study of the contribution of a single-sensor noise pre-processing method, prior to coding, to the performance of a parametric low bit rate speech coder in adverse conditions. The 2.4 kbits/s vocoder we use estimates four
Speech pre-processing against intentional imposture in speaker recognition.
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ABSTRACT Recently, some large-scale text dependent speaker verification systems have been tested. They show that less than 1% Equal Error Rate can be obtained on a test set score distribution. So far, the majority of impostor tests are performed using speakers who
Performance evaluation of front-end processing for speech recognition systems
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Abstract Conventional speech feature extraction front-end algorithms suffer severe performance degradation in noisy environment, especially when there is a noise level mismatch between the training and testing environments. It is necessary to search for new
Applying natural language processing techniques to speech prostheses
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Abstract In this paper, we discuss the application of Natural Language Processing (NLP) techniques to improving speech prostheses for people with severe motor disabilities. Many people who are unable to speak because of physical disability utilize text-to-speech
Evaluating Prosodic Processing for Incremental Speech Synthesis.
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Abstract Incremental speech synthesis (iSS) accepts input and produces output in consecutive chunks that only together result in a full utterance. Systems that use iSS thus have the ability to adapt their utterances while they are ongoing. However, starting to
Real time speech processing for dichotic presentation for binaural hearing aids
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Abstract In case of sensorineural impairment, the reduced frequency resolution in the peripheral auditory system due to spread of masking of a frequency component by adjacent frequency components degrades speech perception. Speech processing by a bank of
MSc in Speech and Language Processing Dissertation: Automatic summarising based on sentence extraction: A statistical approach
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Abstract The present dissertation and project describes a system for automatic summarising of texts. Instead of generating abstracts, a hard NLP task of questionable e ectiveness, the system tries to identify the most important sentences of the original text, thus producing an
An approach to describe methods Of front end processing of Speech signal
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Abstract Speech is the most natural way of information exchange. It provides an efficient means of man machine communication using speech interfacing. Today significant part of speech recognition research is focused on speaker independent speech recognition
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