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Speech Recognition Algorithms Based on Weighted Finite-State Transducers (Paperback)
Loot Price: R1,096
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Speech Recognition Algorithms Based on Weighted Finite-State Transducers (Paperback)
Series: Synthesis Lectures on Speech and Audio Processing
Expected to ship within 10 - 15 working days
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This book introduces the theory, algorithms, and implementation
techniques for efficient decoding in speech recognition mainly
focusing on the Weighted Finite-State Transducer (WFST) approach.
The decoding process for speech recognition is viewed as a search
problem whose goal is to find a sequence of words that best matches
an input speech signal. Since this process becomes computationally
more expensive as the system vocabulary size increases, research
has long been devoted to reducing the computational cost. Recently,
the WFST approach has become an important state-of-the-art speech
recognition technology, because it offers improved decoding speed
with fewer recognition errors compared with conventional methods.
However, it is not easy to understand all the algorithms used in
this framework, and they are still in a black box for many people.
In this book, we review the WFST approach and aim to provide
comprehensive interpretations of WFST operations and decoding
algorithms to help anyone who wants to understand, develop, and
study WFST-based speech recognizers. We also mention recent
advances in this framework and its applications to spoken language
processing. Table of Contents: Introduction / Brief Overview of
Speech Recognition / Introduction to Weighted Finite-State
Transducers / Speech Recognition by Weighted Finite-State
Transducers / Dynamic Decoders with On-the-fly WFST Operations /
Summary and Perspective
General
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