[PDF.93ax] Discriminative Learning for Speech Recognition: Theory and Practice

Discriminative Learning for Speech Recognition: Theory and Practice

[PDF.fm76] Discriminative Learning for Speech Recognition: Theory and Practice

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 | #10720843 in Books |  2008-08-12 | Original language:English | PDF # 1 |  9.25 x.28 x7.50l,.50 | File type: PDF | 112 pages

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In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, ...

You easily download any file type for your device.Discriminative Learning for Speech Recognition: Theory and Practice   |  Xiaodong He, Li Deng.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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