Pitch Determination of Speech Signals

Pitch Determination of Speech Signals

Author: W. Hess

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 713

ISBN-13: 3642819265

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Pitch (i.e., fundamental frequency FO and fundamental period TO) occupies a key position in the acoustic speech signal. The prosodic information of an utterance is predominantly determined by this parameter. The ear is more sensitive to changes of fundamental frequency than to changes of other speech signal parameters by an order of magnitude. The quality of vocoded speech is essentially influenced by the quality and faultlessness of the pitch measure ment. Hence the importance of this parameter necessitates using good and reliable measurement methods. At first glance the task looks simple: one just has to detect the funda mental frequency or period of a quasi-periodic signal. For a number of reasons, however, the task of pitch determination has to be counted among the most difficult problems in speech analysis. 1) In principle, speech is a nonstationary process; the momentary position of the vocal tract may change abruptly at any time. This leads to drastic variations in the temporal structure of the signal, even between subsequent pitch periods, and assuming a quasi-periodic signal is often far from realistic. 2) Due to the flexibility of the human vocal tract and the wide variety of voices, there exist a multitude of possible temporal structures. Narrow-band formants at low harmonics (especially at the second or third harmonic) are an additional source of difficulty. 3) For an arbitrary speech signal uttered by an unknown speaker, the fundamental frequency can vary over a range of almost four octaves (50 to 800 Hz).


Introduction to Digital Speech Processing

Introduction to Digital Speech Processing

Author: Lawrence R. Rabiner

Publisher: Now Publishers Inc

Published: 2007

Total Pages: 212

ISBN-13: 1601980701

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Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.


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.


Modern Methods for Musicology

Modern Methods for Musicology

Author: Tim Crawford

Publisher: Routledge

Published: 2016-04-15

Total Pages: 255

ISBN-13: 1317094654

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Written by leading experts, this volume provides a picture of the realities of current ICT use in musicology as well as prospects and proposals for how it could be fruitfully used in the future. Through its coverage of topics spanning content-based sound searching/retrieval, sound and content analysis, markup and text encoding, audio resource sharing, and music recognition, this book highlights the breadth and inter-disciplinary nature of the subject matter and provides a valuable resource to technologists, musicologists, musicians and music educators. It facilitates the identification of worthwhile goals to be achieved using technology and effective interdisciplinary collaboration.


Springer Handbook of Speech Processing

Springer Handbook of Speech Processing

Author: Jacob Benesty

Publisher: Springer Science & Business Media

Published: 2007-11-28

Total Pages: 1170

ISBN-13: 3540491252

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This handbook plays a fundamental role in sustainable progress in speech research and development. With an accessible format and with accompanying DVD-Rom, it targets three categories of readers: graduate students, professors and active researchers in academia, and engineers in industry who need to understand or implement some specific algorithms for their speech-related products. It is a superb source of application-oriented, authoritative and comprehensive information about these technologies, this work combines the established knowledge derived from research in such fast evolving disciplines as Signal Processing and Communications, Acoustics, Computer Science and Linguistics.


Green and Smart Technology with Sensor Applications

Green and Smart Technology with Sensor Applications

Author: Hyun-seob Cho

Publisher: Springer

Published: 2012-11-07

Total Pages: 429

ISBN-13: 3642352510

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This book comprises the refereed proceedings of the two International Conference on Green and Smart Technology, GST 2012, and on Sensor and Its Applications, SIA 2012, held in Jeju Island, Korea, in November/December 2012. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of green and smart technology with sensor applications.


New Spectral Methods for Analysis of Source/filter Characteristics of Speech Signals

New Spectral Methods for Analysis of Source/filter Characteristics of Speech Signals

Author: Baris Bozkurt

Publisher: Presses univ. de Louvain

Published: 2006

Total Pages: 125

ISBN-13: 2874630136

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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 signal. The combination of the ZZT representation with the chirp group delay processing algorithms provides a useful domain to study resonance characteristics of source and filter components of speech. Using the two representations, effective algorithms are developed for: source-tract decomposition of speech, glottal flow parameter estimation, formant tracking and feature extraction for speech recognition. The ZZT representation is mainly important for theoretical studies. Studying the ZZT of a signal is essential to be able to develop effective chirp group delay processing methods. Therefore, first the ZZT representation of the source-filter model of speech is studied for providing a theoretical background. We confirm through ZZT representation that anti-causality of the glottal flow signal introduces mixed-phase characteristics in speech signals. The ZZT of windowed speech signals is also studied since windowing cannot be avoided in practical signal processing algorithms and the effect of windowing on ZZT representation is drastic. We show that separate patterns exist in ZZT representations of windowed speech signals for the glottal flow and the vocal tract contributions. A decomposition method for source-tract separation is developed based on these patterns in ZZT. We define chirp group delay as group delay calculated on a circle other than the unit circle in z-plane. The need to compute group delay on a circle other than the unit circle comes from the fact that group delay spectra are often very noisy and cannot be easily processed for formant tracking purposes (the reasons are explained through ZZT representation). In this thesis, we propose methods to avoid such problems by modifying the ZZT of a signal and further computing the chirp group delay spectrum. New algorithms based on processing of the chirp group delay spectrum are developed for formant tracking and feature estimation for speech recognition. The proposed algorithms are compared to state-of-the-art techniques. Equivalent or higher efficiency is obtained for all proposed algorithms. The theoretical parts of the thesis further discuss a mixed-phase model for speech and phase processing problems in detail. Index Terms—spectral representation, source-filter separation, glottal flow estimation, formant tracking, zeros of z-transform, group delay processing, phase processing.


Application of Wavelets in Speech Processing

Application of Wavelets in Speech Processing

Author: Mohamed Hesham Farouk

Publisher: Springer

Published: 2017-11-29

Total Pages: 96

ISBN-13: 3319690027

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This new edition provides an updated and enhanced survey on employing wavelets analysis in an array of applications of speech processing. The author presents updated developments in topics such as; speech enhancement, noise suppression, spectral analysis of speech signal, speech quality assessment, speech recognition, forensics by Speech, and emotion recognition from speech. The new edition also features a new chapter on scalogram analysis of speech. Moreover, in this edition, each chapter is restructured as such; that it becomes self contained, and can be read separately. Each chapter surveys the literature in a topic such that the use of wavelets in the work is explained and experimental results of proposed method are then discussed. Illustrative figures are also added to explain the methodology of each work.


Advances In Pattern Recognition - Proceedings Of The 6th International Conference

Advances In Pattern Recognition - Proceedings Of The 6th International Conference

Author: Pinakpani Pal

Publisher: World Scientific

Published: 2006-12-18

Total Pages: 444

ISBN-13: 9814475963

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This volume contains the latest in the series of ICAPR proceedings on the state-of-the-art of different facets of pattern recognition. These conferences have already carved out a unique position among events attended by the pattern recognition community. The contributions tackle open problems in the classic fields of image and video processing, document analysis and multimedia object retrieval as well as more advanced topics in biometrics speech and signal analysis. Many of the papers focus both on theory and application driven basic research pattern recognition.


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).