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• W2546373232 abstract "Speech dynamics refer to the temporal characteristics in all stages of the human speech communication process. This speech “chain” 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 com uterized speech analysis and recognition algorithms? The answers to all these questions require building and applying computational models for the dynamic speech process. What are the compelling reasons for carrying out dynamic speech modeling? We provide the answer in two related aspects. First, scientific inquiry into the human speech code has been relentlessly pursued for several decades. As an essential carrier of human intelligence and knowledge, speech is the most natural form of human communication. Embedded in the speech code are linguistic (as well as para-linguistic) messages, which are conveyed through four levels of the speech chain. Underlying the robust encoding and transmission of the linguistic messages are the speech dynamics at all the four levels. Mathematical modeling of speech dynamics provides an effective tool in the scientific methods of studying the speech chain. Such scientific studies help understand why humans speak as they do and how humans exploit redunda cy and variability by way of multitiered dynamic processes to enhance the efficiency and effectiveness of human speech communication. Second, advancement of human language technology, especially that in automatic recognition of natural-style human speech is also expected to benefit from comprehensive computational modeling of speech dynamics. The limitations of current speech recognition technology are serious and are well known. A commonly acknowledged and frequently discussed weakness of the statistical model underlying current speech recognition technology is the lack of adequate dynamic modeling schemes to provide correlation structure across the temporal speech observation sequence. Unfortunately, due to a variety of reasons, the majority of current research activities in this area favor only incremental modifications and improvements to the existing HMM-based state-of-the-art. For example, while the dynamic and correlation modeling is known to be an important topic, most of the ystems nevertheless employ only an ultra-weak form of speech dynamics; e.g., differential or delta parameters. Strong-form dynamic speech modeling, which is the focus of this monograph, may serve as an ultimate solution to this problem. After the introduction chapter, the main body of this monograph consists of four chapters. They cover various aspects of theory, algorithms, and applications of dynamic speech models, and provide a comprehensive survey of the research work in this area spanning over past 20~years. This monograph is intended as advanced materials of speech and signal processing for graudate-level teaching, for professionals and engineering practioners, as well as for seasoned researchers and engineers specialized in speech processing" @default.
• W2546373232 created "2016-11-04" @default.
• W2546373232 creator A5035017068 @default.
• W2546373232 date "2006-01-01" @default.
• W2546373232 modified "2023-09-24" @default.
• W2546373232 title "Dynamic speech models" @default.
• W2546373232 cites W1481231953 @default.
• W2546373232 cites W1490506669 @default.
• W2546373232 cites W149376020 @default.
• W2546373232 cites W1501130540 @default.
• W2546373232 cites W1508165687 @default.
• W2546373232 cites W1509905243 @default.
• W2546373232 cites W1512763074 @default.
• W2546373232 cites W1527878980 @default.
• W2546373232 cites W1528056001 @default.
• W2546373232 cites W1549321558 @default.
• W2546373232 cites W1554663460 @default.
• W2546373232 cites W1586645951 @default.
• W2546373232 cites W1594223010 @default.
• W2546373232 cites W1598851216 @default.
• W2546373232 cites W1603639024 @default.
• W2546373232 cites W1608512004 @default.
• W2546373232 cites W1801810991 @default.
• W2546373232 cites W1853111913 @default.
• W2546373232 cites W185340767 @default.
• W2546373232 cites W196692374 @default.
• W2546373232 cites W1969229349 @default.
• W2546373232 cites W1977591085 @default.
• W2546373232 cites W1986317063 @default.
• W2546373232 cites W1987517252 @default.
• W2546373232 cites W1989348468 @default.
• W2546373232 cites W1996363348 @default.
• W2546373232 cites W1997698623 @default.
• W2546373232 cites W1998362482 @default.
• W2546373232 cites W1999690732 @default.
• W2546373232 cites W2006582349 @default.
• W2546373232 cites W2014647161 @default.
• W2546373232 cites W2018970329 @default.
• W2546373232 cites W2019113296 @default.
• W2546373232 cites W2032759346 @default.
• W2546373232 cites W2039636789 @default.
• W2546373232 cites W2045785976 @default.
• W2546373232 cites W2048449762 @default.
• W2546373232 cites W2050390617 @default.
• W2546373232 cites W2053001900 @default.
• W2546373232 cites W2053280194 @default.
• W2546373232 cites W2056731339 @default.
• W2546373232 cites W2063541597 @default.
• W2546373232 cites W2063796511 @default.
• W2546373232 cites W2066316103 @default.
• W2546373232 cites W2066420161 @default.
• W2546373232 cites W2068447135 @default.
• W2546373232 cites W2069737407 @default.
• W2546373232 cites W2071489795 @default.
• W2546373232 cites W2074079435 @default.
• W2546373232 cites W2078485280 @default.
• W2546373232 cites W2083393647 @default.
• W2546373232 cites W2084681258 @default.
• W2546373232 cites W2090404765 @default.
• W2546373232 cites W2091088554 @default.
• W2546373232 cites W2092684968 @default.
• W2546373232 cites W2097427452 @default.
• W2546373232 cites W2101859041 @default.
• W2546373232 cites W2102512139 @default.
• W2546373232 cites W2102792306 @default.
• W2546373232 cites W2103283951 @default.
• W2546373232 cites W2104066451 @default.
• W2546373232 cites W2105505506 @default.
• W2546373232 cites W2108608770 @default.
• W2546373232 cites W2111551391 @default.
• W2546373232 cites W2111732304 @default.
• W2546373232 cites W2117172387 @default.
• W2546373232 cites W2118329604 @default.
• W2546373232 cites W2118587967 @default.
• W2546373232 cites W2118825896 @default.
• W2546373232 cites W2122994642 @default.
• W2546373232 cites W2123901243 @default.
• W2546373232 cites W2125107595 @default.
• W2546373232 cites W2125610823 @default.
• W2546373232 cites W2125956490 @default.
• W2546373232 cites W2128413412 @default.
• W2546373232 cites W2133156324 @default.
• W2546373232 cites W2135090195 @default.
• W2546373232 cites W2135433537 @default.
• W2546373232 cites W2136652457 @default.
• W2546373232 cites W2138530627 @default.
• W2546373232 cites W2139648927 @default.
• W2546373232 cites W2141899961 @default.
• W2546373232 cites W2145147877 @default.
• W2546373232 cites W2148622792 @default.
• W2546373232 cites W2149361029 @default.
• W2546373232 cites W2150423550 @default.
• W2546373232 cites W2152134037 @default.
• W2546373232 cites W2159501365 @default.
• W2546373232 cites W2160620631 @default.
• W2546373232 cites W2161010732 @default.
• W2546373232 cites W2161748486 @default.
• W2546373232 cites W2163680580 @default.
• W2546373232 cites W2165544306 @default.
• W2546373232 cites W2166469361 @default.

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