Pitch Determination of Speech Signals

Pitch Determination of Speech Signals PDF Author: W. Hess
Publisher: Springer Science & Business Media
ISBN: 3642819265
Category : Science
Languages : en
Pages : 713

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Book Description
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).

Pitch Determination of Speech Signals

Pitch Determination of Speech Signals PDF Author: W. Hess
Publisher: Springer Science & Business Media
ISBN: 3642819265
Category : Science
Languages : en
Pages : 713

Get Book Here

Book Description
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).

Basic Techniques in Pitch Determination of Speech Signals

Basic Techniques in Pitch Determination of Speech Signals PDF Author: Nghia Van Le
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Pitch Determination of Speech Signals

Pitch Determination of Speech Signals PDF Author: Mark David Anderson
Publisher:
ISBN:
Category :
Languages : en
Pages : 294

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Pitch Determination of Speech Signals Using the Generalized Spectrum

Pitch Determination of Speech Signals Using the Generalized Spectrum PDF Author: Tim Black
Publisher:
ISBN:
Category :
Languages : en
Pages : 128

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Pitch Determination of Speech Signals in the Presence of Noise

Pitch Determination of Speech Signals in the Presence of Noise PDF Author: Martin Roy Varley
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages :

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Visual Representations of Speech Signals

Visual Representations of Speech Signals PDF Author: Martin Cooke
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 406

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Book Description
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.

Pitch Estimation of Speech Signals Using Cyclic Statistics

Pitch Estimation of Speech Signals Using Cyclic Statistics PDF Author: Osman Burak Onal
Publisher:
ISBN:
Category :
Languages : en
Pages : 138

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Multi-pitch Estimation

Multi-pitch Estimation PDF Author: Mads Græsbøll Christensen
Publisher: Morgan & Claypool Publishers
ISBN: 1598298380
Category : Audio frequency
Languages : en
Pages : 161

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Book Description
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

Digital Processing of Speech Signals

Digital Processing of Speech Signals PDF Author: Lawrence R. Rabiner
Publisher: Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 536

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Book Description
The material in this book is intended as a one-semester course in speech processing. The purpose of this text is to show how digital signal processing techniques can be applied to problems related to speech communication. The book gives an extensive description of the physical basis for speech coding including fourier analysis, digital representation and digital and time domain models of the wave form. It goes on to discuss homomorphic speech processing, linear predictive coding and digital processing for machine communication by voice.

Signal Processing of Speech

Signal Processing of Speech PDF Author: Frank J. Owens
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 200

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Book Description
This is an introduction and brief overview of the techniques and algorithms used in the design of speech systems. The author focuses on signal processing, and briefly describes the roles of other disciplines such as electronics, computing science, linguistics and physiology.