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Titlebook: Dynamic Speech Models; Theory, Algorithms, Li Deng Book 2006 Springer Nature Switzerland AG 2006

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書(shū)目名稱Dynamic Speech Models
副標(biāo)題Theory, Algorithms,
編輯Li Deng
視頻videohttp://file.papertrans.cn/284/283761/283761.mp4
叢書(shū)名稱Synthesis Lectures on Speech and Audio Processing
圖書(shū)封面Titlebook: Dynamic Speech Models; Theory, Algorithms,  Li Deng Book 2006 Springer Nature Switzerland AG 2006
描述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 computerized 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
出版日期Book 2006
版次1
doihttps://doi.org/10.1007/978-3-031-02555-6
isbn_softcover978-3-031-01427-7
isbn_ebook978-3-031-02555-6Series ISSN 1932-121X Series E-ISSN 1932-1678
issn_series 1932-121X
copyrightSpringer Nature Switzerland AG 2006
The information of publication is updating

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A General Modeling and Computational Framework,ed DBN, in which the speech dynamics at separate levels of the generative chain are represented by distinct (but dependent) discrete and continuous state variables and by their characteristic temporal evolution.
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Models with Continuous-Valued Hidden Speech Trajectories,his new implementation and approximation strategy for a hidden trajectory model (HTM) where the hidden dynamics are defined as an explicit function of time instead of by recursion. Other types of approximation developed for the recursively defined dynamics can be found in [84, 85, 121–123] and will not be described in this book.
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1932-121X th 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 mat
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