Download e-book for kindle: Automatic speech recognition. A deep learning approach by Dong Yu

By Dong Yu

ISBN-10: 1447157788

ISBN-13: 9781447157786

ISBN-10: 1447157796

ISBN-13: 9781447157793

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.

Show description

Read or Download Automatic speech recognition. A deep learning approach PDF

Best acoustics & sound books

F. Alton Everest's Critical Listening Skills for Audio Professionals PDF

Audio productions are made or damaged via the standard of the recording engineer's ears. the facility to correctly determine sounds, establish sophisticated difficulties, and act for this reason to use the mandatory repair makes the entire distinction within the caliber of the ultimate tracks and grasp. the excellent news is that those an important talents might be discovered.

Download e-book for iPad: Cognition, Metacognition, and Reading by Donna-Lynn Forrest-Pressley

We had our first dialog approximately cognition, metacognition, and analyzing in September of 1976. Our specific hindrance used to be with studying and studying to learn, and what, if something, meta cognition may need to do with all of it. We did not fairly comprehend a lot approximately metacognition then, after all, yet then so much people have been within the similar drawback.

Download e-book for iPad: The boundary element method : applications in sound and by A. Ali, C. Rajakumar

The Boundary aspect procedure, or BEM, is a strong numerical research device with specific merits over different analytical tools. With study during this quarter expanding swiftly and extra makes use of for the strategy showing, this well timed ebook presents a whole chronological evaluate of all innovations which have been proposed up to now, overlaying not just the basics of the BEM but in addition a wealth of knowledge on similar computational research options and formulations, and their purposes in engineering, physics and arithmetic.

Additional info for Automatic speech recognition. A deep learning approach

Example text

IEEE Trans. Audio, Speech Lang. Process. 20(1), 30–42 (2012) 4. : Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentences. IEEE Trans. Acoust. Speech Signal Process. 28(4), 357–366 (1980) 5. : Speech Processing—A Dynamic and Optimization-Oriented Approach. Marcel Dekker Inc, New York (2003) 6. : Deep Learning: Methods and Applications. NOW Publishers, Delft (2014) 7. : Perceptual linear predictive (PLP) analysis of speech. J. Acoust. Soc. Am. 87, 1738 (1990) 8.

IEEE ASSP Mag. 3(1), 4–16 (1986) 19. : Fundamentals of Speech Recognition. Prentice-Hall, Upper Saddle River (1993) 20. : Learning representations by back-propagating errors. Nature 323(6088), 533–536 (1986) 21. : Feature engineering in context-dependent deep neural networks for conversational speech transcription. In: Proceedings of IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp. 24–29 (2011) References 9 22. : Conversational speech transcription using context-dependent deep neural networks.

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.

Download PDF sample

Automatic speech recognition. A deep learning approach by Dong Yu


by Richard
4.2

Rated 4.13 of 5 – based on 12 votes