Titlebook: Language Identification Using Spectral and Prosodic Features; K. Sreenivasa Rao,V. Ramu Reddy,Sudhamay Maity Book 2015 The Author(s) 2015

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書目名稱Language Identification Using Spectral and Prosodic Features影響因子(影響力)




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書目名稱Language Identification Using Spectral and Prosodic Features讀者反饋




書目名稱Language Identification Using Spectral and Prosodic Features讀者反饋學(xué)科排名

micturition

Language Identification Using Prosodic Features,ecific prosodic features at syllable, word and global levels for LID task. For improving the recognition accuracy of LID system further, combination of spectral and prosodic features has been explored.

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原來

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2191-737X veloping robust LID systems according to specific spectral and prosodic features. Finally, the book discuss about various combinations of spectral and prosodic features, and the desired models to enhance the performance of LID systems.978-3-319-17162-3978-3-319-17163-0Series ISSN 2191-737X Series E-ISSN 2191-7388

Ischemia

K. Sreenivasa Rao,V. Ramu Reddy,Sudhamay MaityDiscusses recently proposed spectral features extracted from glottal closure regions and pitch-synchronous analysis, which are more robust and carry high degree of language discrimination information.

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SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/l/image/580928.jpg

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天然熱噴泉

,Language Identification Using Spectral?Features,n (LID) performance. Speaker-dependent and independent language models are also discussed in view of LID. Spectral features extracted from conventional block processing, pitch synchronous analysis, and glottal closure regions are examined for discriminating the languages.

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