Approach to Speech Processing : Speech Recognition by Feature Extraction

Language: English

Published by LAP LAMBERT Academic Publishing, 2020

6200531625 / 9786200531629

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nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial neural network based speech recognition by feature extraction analysisSpeech recognition by machine is a critical core technology for the 'information' age. Existing machine recognition systems do not work the way human work. This is because automatic speech recognition (ASR) machines use spectral templates, while human work with partial recognition information across frequency, probably in the form of speech features that are local in frequency (e.g., formants). The forcing partial recognition errors in one frequency region do not affect the partial recognition at other frequencies (i.e., the partial recognition errors across frequency are independent). To extract the features spread across frequency requires frequency-local signal processing. Although a great deal has been learned, the fundamental process of speech production and speech perception, the goal of recognition of fluent speech remains elusive. The fundamental function of a speech recognition system is to identify trial speech utterances belonging to a given vocabulary with the highest possible degree, while rejecting those utterances that do not belong to the vocabulary.

Seller Inventory # 9786200531629

Title
Approach to Speech Processing : Speech Recognition by Feature Extraction
Author
Pramod Patil
Publisher
LAP LAMBERT Academic Publishing
Publication year
2020
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6200531625
ISBN 13
9786200531629
Item weight
173 grams
Dimensions
220x150x7 mm

AHA-BUCH GmbH

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