Dynamic speech models : theory, algorithms, and applications / Li Deng.

Format:

Book

Author/Creator:

Deng, Li, 1958-

Series:

Synthesis lectures on speech and audio processing, 1932-1678 ; #2.

Synthesis lectures on speech and audio processing, 1932-1678 ; #2

Language:

English

Subjects (All):

Oral communication--Mathematical models.

Oral communication.

Speech--Mathematical models.

Speech.

Automatic speech recognition.

Physical Description:

1 online resource (118 p.)

Edition:

1st ed.

Place of Publication:

San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006.

Language Note:

English

Summary:

Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process. This speech starts with the formation of a linguistic message in a speaker's brain and ends with the arrival of the message in a listener's brain. Given the intricacy of the dynamic speech process and its fundamental importance in human communication, this monograph is intended to provide a comprehensive material on mathematical models of speech dynamics and to address the following issues: How do we make sense of the complex speech process in terms of its functional role of speech communication? How do we quantify the special role of speech timing? How do the dynamics relate to the variability of speech that has often been said to seriously hamper automatic speech recognition? How do we put the dynamic process of speech into a quantitative form to enable detailed analyses? And finally, how can we incorporate the knowledge of speech dynamics into computerized speech analysis and recognition algorithms? The answers to all these questions require building and applying computational models for the dynamic speech process.

Contents:

What are speech dynamics?

What are models of speech dynamics?

Why modeling speech dynamics?

Outline of the book

A general modeling and computational framework

Background and literature review

Model design philosophy and overview

Model components and the computational framework

Modeling : from acoustic dynamics to hidden dynamics

Statistical models for acoustic speech dynamics

Statistical models for hidden speech dynamics

Models with discrete-valued hidden speech dynamics

Basic model with discretized hidden dynamics

Extension of the basic model

Application to automatic tracking of hidden dynamics

Models with continuous-valued hidden speech trajectories

Overview of the hidden trajectory model

Understanding model behavior by computer simulation

Parameter estimation

Application to phonetic recognition.

Notes:

Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 95-103).

Title from PDF t.p. (viewed on October 23, 2008).

Cited in:

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INSPEC

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ISBN:

1-59829-065-7

OCLC:

70247330