| Document Type
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BL
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| Record Number
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1016722
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| Doc. No
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b771092
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| Main Entry
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Deng, Li,1958-
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| Title & Author
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Dynamic speech models : : theory, algorithms, and applications /\ Li Deng.
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| Edition Statement
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1st ed.
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| Publication Statement
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[San Rafael, Calif.] :: Morgan & Claypool Publishers,, ©2006.
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| Series Statement
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Synthesis lectures on speech and audio processing ;; #2
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| Page. NO
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1 online resource (xi, 105 pages)
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| ISBN
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1598290657
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: 1598293842
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: 9781598290653
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: 9781598293845
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1598290649
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9781598290646
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| Notes
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Title from PDF title page (viewed July 5, 2006).
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| Bibliographies/Indexes
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Includes bibliographical references (pages 95-103).
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| Contents
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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.
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| Abstract
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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.
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| Subject
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Automatic speech recognition.
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| Subject
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Oral communication-- Mathematical models.
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| Subject
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Speech-- Mathematical models.
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Automatic speech recognition.
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LANGUAGE ARTS DISCIPLINES-- Linguistics-- Psycholinguistics.
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| Subject
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Oral communication-- Mathematical models.
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| Subject
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Spraakproductie.
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| Dewey Classification
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401/.9
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| LC Classification
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P95.D46 2006
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| NLM classification
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17.53bcl
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