Titlebook: Discriminative Learning for Speech Recognition; Theory and Practice Xiaodong He,Li Deng Book 2008 Springer Nature Switzerland AG 2008

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Sustainable Design for Global Equilibriumdesign where each class is characterized by an exponential-family distribution discussed in Chapter 1. The next chapter extends the results here into the more difficult but practically more useful case of hidden Markov models (HMMs).

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CSR, Sustainability, Ethics & GovernanceThe basic development of growth transformation (GT)-based optimization for the hidden Markov model (HMM) and of the unified objective function has been presented in earlier chapters, where several practical considerations and implementation issues are left to this chapter.

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Synthesis Lectures on Speech and Audio Processinghttp://image.papertrans.cn/e/image/281227.jpg

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https://doi.org/10.1007/978-3-030-94818-4HMMs). These are: maximum mutual information (MMI), minimum classification error (MCE), and minimum phone error/minimum word error (MPE/MWE). We also compare our unified form of these objective functions with another popular unified form in the literature.

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