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Statistical Methods for Speech Recognition (Language, Speech, and Communication)

Frederick Jelinek




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 | #1239038 in Books |  1998-01-16 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x1.00 x6.20l,1.18 | File type: PDF | 305 pages

||0 of 0 people found the following review helpful.| Excellent speech recognition text!|By LOV|This is probably the best speech recognition text written in a statistical approach. For those who are stat oriented, this is a great read and a pretty straightforward one. Things are written clearly and logically.|0 of 0 people found the following review helpful.| A pleasure|By Rachel W Adamec| ||This book fills a long-existing gap in the scientific literature on automatic speech recognition. During the past three decades, statistical methods have had the strongest impact on the whole area of automatic speech recognition, in particular for large-vocab

This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setti...

You easily download any file type for your device.Statistical Methods for Speech Recognition (Language, Speech, and Communication)   |  Frederick Jelinek. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.

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