£13.41

Like Humans Do - Speech Recognition Scene Analysis Book

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Description

Improve your understanding of automatic speech recognition with Like Humans Do. This technical book explores a systematic approach to recognizing simultaneous speech signals through computational auditory scene analysis. By drawing inspiration from human auditory perception, the text investigates specific algorithms and techniques designed to decompose multiple speech signals effectively. The content focuses on integrating a spectro-temporal fragment decoder within a statistical search process. This method provides a deep look into the mechanisms needed to help automatic speech recognition reach human levels of performance. It is a valuable resource for those studying computer science, technology, and applications who want to understand the transition from current systems to more robust, human-like auditory processing.

Key Features

Explores systematic approaches to the automatic recognition of simultaneous speech signals.

Uses computational auditory scene analysis to model human-like auditory perception.

Investigates algorithms for decomposing multiple speech signals using spectro-temporal fragment decoders.

Integrates statistical search processes to enhance speech recognition robustness.

Provides insight into the mechanisms required for high-level automatic speech recognition performance.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
27 January 2012
Listed Since
24 December 2010

Barcode

No barcode data available

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