By Dong Yu

ISBN-10: 1447157788

ISBN-13: 9781447157786

ISBN-10: 1447157796

ISBN-13: 9781447157793

This ebook presents a accomplished evaluate of the hot development within the box of automated speech acceptance with a spotlight on deep studying versions together with deep neural networks and lots of in their variations. this can be the 1st automated speech popularity e-book devoted to the deep studying strategy. as well as the rigorous mathematical therapy of the topic, the e-book additionally offers insights and theoretical starting place of a chain of hugely winning deep studying models.

Show description

Read or Download Automatic Speech Recognition: A Deep Learning Approach PDF

Best acoustics & sound books

Download PDF by Blade Kotelly: The Art and Business of Speech Recognition: Creating the

Most folk have skilled an automatic speech-recognition approach whilst calling an organization. rather than prompting callers to decide on an alternative via getting into numbers, the method asks questions and is aware spoken responses. With a extra complex software, callers may perhaps suppose as though they're having a talk with someone else.

New PDF release: Soft Computing in Acoustics: Applications of Neural

Functions of a few chosen delicate computing how to acoustics and sound engineering are provided during this ebook. the purpose of this learn examine is the implementation of sentimental computing the right way to musical sign research and to the popularity of musical sounds and words. as a result, a few tools in line with such studying algorithms as neural networks, tough units and fuzzy-logic have been conceived, carried out and verified.

Joseph L. Rose's Ultrasonic Guided Waves in Solid Media PDF

Ultrasonic guided waves in reliable media became a significantly vital topic in nondestructive checking out and structural wellbeing and fitness tracking, as new speedier, extra delicate, and more cost effective methods of taking a look at fabrics and constructions became attainable. This booklet will bring about clean inventive principles to be used in new inspection approaches.

Extra resources for Automatic Speech Recognition: A Deep Learning Approach

Sample text

It is well-known that speech is produced by modulating a relatively small number of parameters of a dynamical system [7, 8, 17, 20, 29, 30]. This suggests that the true underlying structure of speech is of a much lower dimension than is immediately apparent in a window that contains hundreds of coefficients. Therefore, other types of model, which can capture better properties of speech features, are expected to work better than GMMs for acoustic modeling of speech. In particular, the new models should more effectively exploit information embedded in a large window of frames of speech features than GMMs.

Even if log p(y; θ ) can usually be easily expressed in closed form, finding the closed-form expression for the expectation is usually hard. 2 Applying EM to Learning the HMM—Baum-Welch Algorithm We now discuss how maximum-likelihood parameter estimation and, in particular, the EM algorithm is applied to solve the learning problem for the HMM. As introduced in the preceding section, the EM algorithm is a general iterative technique for maximum likelihood estimation, with local optimality in general, when hidden variables exist.

T using definitions in Eqs. 18. Note that T |ot , q = i) = P(o T |q = i) because the observations are IID given the P(ot+1 1 t t+1 t state in the HMM. Given this, P(o1T ) can be computed as N N P(o1T ) = P(qt = i, o1T ) = i=1 αt (i)βt (i). 24) i=1 Taking t = T in Eq. 24 and using Eq. 22 lead to N P(o1T ) = αT (i). 25) i=1 Thus, strictly speaking, the β recursion is not necessary for the forward scoring computation, and hence the algorithm is often called the forward algorithm. 32 3 Hidden Markov Models and the Variants However, the β computation is a necessary step for solving the model parameter estimation problem, which will be covered in the next section.

Download PDF sample

Automatic Speech Recognition: A Deep Learning Approach by Dong Yu


by Robert
4.3

Download e-book for kindle: Automatic Speech Recognition: A Deep Learning Approach by Dong Yu
Rated 4.63 of 5 – based on 31 votes