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).


Linear Prediction of Speech

Linear Prediction of Speech

Author: J.D. Markel

Publisher: Springer Science & Business Media

Published: 2013-03-12

Total Pages: 276

ISBN-13: 3642662862

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During the past ten years a new area in speech processing, generally referred to as linear prediction, has evolved. As with all scientific research, results did not always get published in a logical order and terminology was not always con sistent. In mid-1974, we decided to begin an extra hours and weekends project of organizing the literature in linear prediction of speech and developing it into a unified presentation in terms of content and terminology. This effort was completed in November, 1975, with the contents presented herein. If there are two words which describe our goals in this book, they are unifica tion and depth. Considerable effort has been spent on showing the interrelation ships among various linear prediction formulations and solutions, and in develop ing extensions such as acoustic tube models and synthesis filter structures in a unified manner with consistent terminology. Topics are presented in such a manner that derivations and theoretical details are covered, along with Fortran sub routines and practical considerations. Using this approach we hope to have made the material useful for a wide range of backgrounds and interests.


Multi-Pitch Estimation

Multi-Pitch Estimation

Author: Mads Christensen

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 141

ISBN-13: 303102558X

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Periodic signals can be decomposed into sets of sinusoids having frequencies that are integer multiples of a fundamental frequency. The problem of finding such fundamental frequencies from noisy observations is important in many speech and audio applications, where it is commonly referred to as pitch estimation. These applications include analysis, compression, separation, enhancement, automatic transcription and many more. In this book, an introduction to pitch estimation is given and a number of statistical methods for pitch estimation are presented. The basic signal models and associated estimation theoretical bounds are introduced, and the properties of speech and audio signals are discussed and illustrated. The presented methods include both single- and multi-pitch estimators based on statistical approaches, like maximum likelihood and maximum a posteriori methods, filtering methods based on both static and optimal adaptive designs, and subspace methods based on the principles of subspace orthogonality and shift-invariance. The application of these methods to analysis of speech and audio signals is demonstrated using both real and synthetic signals, and their performance is assessed under various conditions and their properties discussed. Finally, the estimators are compared in terms of computational and statistical efficiency, generalizability and robustness. Table of Contents: Fundamentals / Statistical Methods / Filtering Methods / Subspace Methods / Amplitude Estimation


Clinical Assessment of Voice, Second Edition

Clinical Assessment of Voice, Second Edition

Author: Robert Thayer Sataloff

Publisher: Plural Publishing

Published: 2017-09-22

Total Pages: 777

ISBN-13: 1944883738

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In Clinical Assessment of Voice, Second Edition, Dr. Sataloff brings together a dynamic group of professionals who share his interdisciplinary philosophy of voice care. They provide an introduction to medical diagnostics and special problems with professional performers and voice users and offer a rare look at the assessment procedures used by the top voice care teams in the world. Clinical Assessment of Voice, Second Edition, includes chapters written by individuals with specialties in laryngology, teaching of singing and acting, voice science, and speech-language pathology, nursing, and acoustics. Starting with an extensive case history and following with the physical examination, the objective documentation in the voice laboratory, and the latest diagnostic imaging with laryngeal computed tomography and strobovideolaryngoscopy, the chapters delineate the possible diagnoses and treatment approaches that currently represent the state of the art in assessment of voice disorders. Added is current information on the medical-legal evaluation, now ever more important for the professional performer. New to this edition: New chapters on high-speed digital imaging, evolution of technology, magnetic resonance imaging, pediatric voice disorders, and thyroid disorders.Many chapters have been rewritten extensively to include the most recent practices and techniques, as well as updated references.Discussion of a large number of studies that were not addressed previously and a review of the latest literature, while also retaining classic literature.New information on topics such as measuring voice treatment outcomes, World Trade Center syndrome, and laryngeal effects of asbestos exposure.A selection of new authors who provide an interdisciplinary approach and valuable insights into the care of vocal performers. Clinical Assessment of Voice, Second Edition is ideal for speech-language pathology students and clinicians and is suitable for classroom use as well as for reference. For practicing otolaryngologists and speech-language pathologists, it is an invaluable guide for understanding the techniques for proper diagnosis and for organizing a plan of treatment. For singers and performers, knowledge of the assessment process is presented in a manner that allows them to determine what level of assessment they should pursue for the most current treatment.


Proceedings of the Third International Conference on Computational Intelligence and Informatics

Proceedings of the Third International Conference on Computational Intelligence and Informatics

Author: K. Srujan Raju

Publisher: Springer Nature

Published: 2020-03-17

Total Pages: 881

ISBN-13: 9811514801

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This book features high-quality papers presented at the International Conference on Computational Intelligence and Informatics (ICCII 2018), which was held on 28–29 December 2018 at the Department of Computer Science and Engineering, JNTUH College of Engineering, Hyderabad, India. The papers focus on topics such as data mining, wireless sensor networks, parallel computing, image processing, network security, MANETS, natural language processing and Internet of things.


Introduction to EEG- and Speech-Based Emotion Recognition

Introduction to EEG- and Speech-Based Emotion Recognition

Author: Priyanka A. Abhang

Publisher: Academic Press

Published: 2016-03-23

Total Pages: 200

ISBN-13: 0128045310

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Introduction to EEG- and Speech-Based Emotion Recognition Methods examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG/speech fusion method for how to most accurately detect emotional states in EEG recordings. - Provides detailed insight on the science of emotion and the brain signals underlying this phenomenon - Examines emotions as a multimodal entity, utilizing a bimodal emotion recognition system of EEG and speech data - Details the implementation of techniques used for acquiring as well as analyzing EEG and speech signals for emotion recognition


Cyclostationary Processes and Time Series

Cyclostationary Processes and Time Series

Author: Antonio Napolitano

Publisher: Academic Press

Published: 2019-10-24

Total Pages: 628

ISBN-13: 0081027370

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Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not periodic, but whose statistical functions are periodic functions of time. These processes are called cyclostationary and are an appropriate mathematical model for signals encountered in many fields including communications, radar, sonar, telemetry, acoustics, mechanics, econometrics, astronomy, and biology. Cyclostationary Processes and Time Series: Theory, Applications, and Generalizations addresses these issues and includes the following key features. - Presents the foundations and developments of the second- and higher-order theory of cyclostationary signals - Performs signal analysis using both the classical stochastic process approach and the functional approach for time series - Provides applications in signal detection and estimation, filtering, parameter estimation, source location, modulation format classification, and biological signal characterization - Includes algorithms for cyclic spectral analysis along with Matlab/Octave code - Provides generalizations of the classical cyclostationary model in order to account for relative motion between transmitter and receiver and describe irregular statistical cyclicity in the data


Underwater Signal and Data Processing

Underwater Signal and Data Processing

Author: Joseph C. Hassab

Publisher: CRC Press

Published: 2018-01-18

Total Pages: 374

ISBN-13: 1351094343

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A systematic and integrated account of signal and data processing with emphasis on the distinctive marks of the ocean environment is provided in this informative text. Underwater problems such as space-time processing relations vs. disjointed ones, processing of passive observations vs. active ones, time delay estimation vs. frequency estimation, channel effects vs. transparent ones, integrated study of signal, data, and channel processing vs. separate ones, are highlighted. The book provides the beginner with a concise presentation of the essential concepts, defines the basic computational steps, and gives the mature reader an advanced view of underwater systems and the relationships among their building blocks. It presents the needed topics on applied estimation theory within the underwater systems context. Included are topics in linear and nonlinear filtering, spectral analysis, generalized correlation, cepstrum and complex demodulation, Cramer-Rao Bounds, maximum likelihood, weighted least-squares, Kalman filtering, expert systems, wave propagation and their use, as well as their performance in applications to canonical ocean problems. The applications center on the definition, analysis, and solution implementations to representative underwater signal analysis problems dealing with signals estimation, their location and motion. The potential limitations and pitfalls of the implementations are delineated in homogeneous, noisy, interfering, inhomogeneous, multipath, distortions, and/or dispersive channels.