The Handbook of Speech Production
The Handbook of Speech Production

Author: Melissa A. Redford

Publisher: John Wiley & Sons

Published: 2019-02-12

Total Pages: 613

ISBN-13: 1119029147

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The Handbook of Speech Production is the first reference work to provide an overview of this burgeoning area of study. Twenty-four chapters written by an international team of authors examine issues in speech planning, motor control, the physical aspects of speech production, and external factors that impact speech production. Contributions bring together behavioral, clinical, computational, developmental, and neuropsychological perspectives on speech production to create a rich and truly interdisciplinary resource Offers a novel and timely contribution to the literature and showcases a broad spectrum of research in speech production, methodological advances, and modeling Coverage of planning, motor control, articulatory coordination, the speech mechanism, and the effect of language on production processes

Visual Representations of Speech Signals
Visual Representations of Speech Signals

Author: Martin Cooke

Publisher:

Published: 1993-04-14

Total Pages: 406

ISBN-13:

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Presents a wide range of graphical representations of some speech signals and allows current speech analysis techniques to be assessed and directly compared. Describes time-frequency representations, auditory modeling, neural networks, pitch and multi-channel analysis. The study of over 40 different analyses of speech is represented in myriad images found throughout.

Cleft Palate Speech
Cleft Palate Speech

Author: Sara Howard

Publisher: John Wiley & Sons

Published: 2011-09-26

Total Pages: 402

ISBN-13: 0470743301

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The focus of this book is on speech production and speech processing associated with cleft palate, covering phonetic (perceptual and instrumental), phonological and psycholinguistic perspectives, and including coverage of implications for literacy and education, as well as cross-linguistic differences. It draws together a group of international experts in the fields of cleft lip and palate and speech science to provide an up-to-date and in-depth account of the nature of speech production, and the processes and current evidence base of assessment and intervention for speech associated with cleft palate. The consequences of speech disorders associated with cleft on intelligibility and communicative participation are also covered. This book will provide a solid theoretical foundation and a valuable clinical resource for students of speech-language pathology, for practising speech-language pathologists, and for others interested in speech production in cleft palate, including researchers and members of multi-disciplinary cleft teams who wish to know more about the nature of speech difficulties associated with a cleft palate.

Speech and Audio Signal Processing
Speech and Audio Signal Processing

Author: Ben Gold

Publisher: John Wiley & Sons

Published: 2011-08-23

Total Pages: 684

ISBN-13: 0470195363

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When Speech and Audio Signal Processing published in 1999, it stood out from its competition in its breadth of coverage and its accessible, intutiont-based style. This book was aimed at individual students and engineers excited about the broad span of audio processing and curious to understand the available techniques. Since then, with the advent of the iPod in 2001, the field of digital audio and music has exploded, leading to a much greater interest in the technical aspects of audio processing. This Second Edition will update and revise the original book to augment it with new material describing both the enabling technologies of digital music distribution (most significantly the MP3) and a range of exciting new research areas in automatic music content processing (such as automatic transcription, music similarity, etc.) that have emerged in the past five years, driven by the digital music revolution. New chapter topics include: Psychoacoustic Audio Coding, describing MP3 and related audio coding schemes based on psychoacoustic masking of quantization noise Music Transcription, including automatically deriving notes, beats, and chords from music signals. Music Information Retrieval, primarily focusing on audio-based genre classification, artist/style identification, and similarity estimation. Audio Source Separation, including multi-microphone beamforming, blind source separation, and the perception-inspired techniques usually referred to as Computational Auditory Scene Analysis (CASA).

The Handbook of Speech Perception
The Handbook of Speech Perception

Author: David Pisoni

Publisher: John Wiley & Sons

Published: 2008-04-15

Total Pages: 704

ISBN-13: 0470756772

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The Handbook of Speech Perception is a collection of forward-looking articles that offer a summary of the technical and theoretical accomplishments in this vital area of research on language. Now available in paperback, this uniquely comprehensive companion brings together in one volume the latest research conducted in speech perception Contains original contributions by leading researchers in the field Illustrates technical and theoretical accomplishments and challenges across the field of research and language Adds to a growing understanding of the far-reaching relevance of speech perception in the fields of phonetics, audiology and speech science, cognitive science, experimental psychology, behavioral neuroscience, computer science, and electrical engineering, among others.

Distant Speech Recognition
Distant Speech Recognition

Author: Matthias Woelfel

Publisher: John Wiley & Sons

Published: 2009-04-20

Total Pages: 600

ISBN-13: 0470714077

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A complete overview of distant automatic speech recognition The performance of conventional Automatic Speech Recognition (ASR) systems degrades dramatically as soon as the microphone is moved away from the mouth of the speaker. This is due to a broad variety of effects such as background noise, overlapping speech from other speakers, and reverberation. While traditional ASR systems underperform for speech captured with far-field sensors, there are a number of novel techniques within the recognition system as well as techniques developed in other areas of signal processing that can mitigate the deleterious effects of noise and reverberation, as well as separating speech from overlapping speakers. Distant Speech Recognitionpresents a contemporary and comprehensive description of both theoretic abstraction and practical issues inherent in the distant ASR problem. Key Features: Covers the entire topic of distant ASR and offers practical solutions to overcome the problems related to it Provides documentation and sample scripts to enable readers to construct state-of-the-art distant speech recognition systems Gives relevant background information in acoustics and filter techniques, Explains the extraction and enhancement of classification relevant speech features Describes maximum likelihood as well as discriminative parameter estimation, and maximum likelihood normalization techniques Discusses the use of multi-microphone configurations for speaker tracking and channel combination Presents several applications of the methods and technologies described in this book Accompanying website with open source software and tools to construct state-of-the-art distant speech recognition systems This reference will be an invaluable resource for researchers, developers, engineers and other professionals, as well as advanced students in speech technology, signal processing, acoustics, statistics and artificial intelligence fields.

Audio Source Separation and Speech Enhancement
Audio Source Separation and Speech Enhancement

Author: Emmanuel Vincent

Publisher: John Wiley & Sons

Published: 2018-10-22

Total Pages: 517

ISBN-13: 1119279895

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Learn the technology behind hearing aids, Siri, and Echo Audio source separation and speech enhancement aim to extract one or more source signals of interest from an audio recording involving several sound sources. These technologies are among the most studied in audio signal processing today and bear a critical role in the success of hearing aids, hands-free phones, voice command and other noise-robust audio analysis systems, and music post-production software. Research on this topic has followed three convergent paths, starting with sensor array processing, computational auditory scene analysis, and machine learning based approaches such as independent component analysis, respectively. This book is the first one to provide a comprehensive overview by presenting the common foundations and the differences between these techniques in a unified setting. Key features: Consolidated perspective on audio source separation and speech enhancement. Both historical perspective and latest advances in the field, e.g. deep neural networks. Diverse disciplines: array processing, machine learning, and statistical signal processing. Covers the most important techniques for both single-channel and multichannel processing. This book provides both introductory and advanced material suitable for people with basic knowledge of signal processing and machine learning. Thanks to its comprehensiveness, it will help students select a promising research track, researchers leverage the acquired cross-domain knowledge to design improved techniques, and engineers and developers choose the right technology for their target application scenario. It will also be useful for practitioners from other fields (e.g., acoustics, multimedia, phonetics, and musicology) willing to exploit audio source separation or speech enhancement as pre-processing tools for their own needs.