By Dong Yu
This booklet offers a entire assessment of the hot development within the box of automated speech acceptance with a spotlight on deep studying types together with deep neural networks and plenty of in their variations. this is often the 1st computerized speech acceptance e-book devoted to the deep studying strategy. as well as the rigorous mathematical remedy of the topic, the publication additionally offers insights and theoretical beginning of a chain of hugely profitable deep studying models.
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Additional info for Automatic speech recognition. A deep learning approach
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N , subject to the constraint Nj=1 ai j = 1. 41) where ξt (i, j) and γt (i) are computed according to Eqs. 39. To derive the reestimation formulas for the parameters in the state-dependent Gaussian distributions, we first remove optimization-independent terms and factors in Q 1 in Eq. 36. Then we have an equivalent objective function of N Tr Q 1 (μ i , Σ i ) = γt (i) ot − μi T Σ i−1 ot − μi − i=1 t=1 1 log |Σ i |. 43) for i = 1, 2, . . , N . For solving it, we employ the trick of variable transformation: K = Σ −1 (we omit the state index i for simplicity), and we treat Q 1 as a function of K.
Automatic speech recognition. A deep learning approach by Dong Yu