Vector Quantization based Speech Recognition System : Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients

Language: English

Published by LAP LAMBERT Academic Publishing, 2010

3838368916 / 9783838368917

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Automatic Speech Recognition (ASR) has progressed considerably over the past several decades, but still has not achieved the potential imagined at its very beginning. Almost all of the existing applications of ASR systems are PC based. This work is an attempt to develop a speech recognition system that is independent of any PC support and is small enough in size to be used in a daily use consumer appliance. The proposed system would recognize isolated word utterances from a limited vocabulary, provide speaker independence, require less memory and be cost-efficient compared to present ASR systems. In this system, isolated word recognition is performed by using Vector Quantization (VQ) and Mel-Frequency Cepstral Coefficient (MFCC). The final system has been implemented on a vero board with an ATMEGA32 microcontroller. Learning and recognition algorithm have been used to recognize the speech utterances.

Seller Inventory # 9783838368917

Title
Vector Quantization based Speech Recognition System : Implementation of VQ based Isolated Word Recognition with Cepstral Coefficients
Author
Md. Rabiul Islam
Publisher
LAP LAMBERT Academic Publishing
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838368916
ISBN 13
9783838368917
Item weight
137 grams
Dimensions
220x150x5 mm

AHA-BUCH GmbH

Einbeck, Germany

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