Dynamic speech models theory, algorithms, and applications /

• Main Author: Deng, Li, 1958-
• Format: Electronic
• Language: English
• Published: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2006.
• Edition: 1st ed.
• Series: Synthesis lectures on speech and audio processing (Online), #2.
• Subjects: Oral communication > Mathematical models.; Speech > Mathematical models.; Automatic speech recognition.
• Online Access: View fulltext via EzAccess
• Item Description: Part of: Synthesis digital library of engineering and computer science.; Title from PDF t.p. (viewed on October 23, 2008).; Series from website.
• Physical Description: 1 electronic text (xi, 105 p.) : digital file.; Also available in print.
• Format: Mode of access: World Wide Web.; System requirements: Adobe Acrobat Reader.
• Bibliography: Includes bibliographical references (p. 95-103).
• ISBN: 1598290657 (ebook); 1598290649 (paper)
• ISSN: 1932-1678
• Access: Abstract freely available; full-text restricted to subscribers or individual document purchasers.

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.