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Feature-based Robust Techniques for Speech Recognition System - Softcover

 
9783659960253: Feature-based Robust Techniques for Speech Recognition System

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Punjabi language is popular Indo-Aryan language. Its phoneme sounds are tonal in nature which dissent in almost all-Indian side of Punjab. This books focus on analysis of some pf the dominant feature extraction techniques used in Automatic Speech Recognition and analytically analyse which feature extraction techniques is best suitable for extracting features of the tone present in the Punjabi speech. Three feature extractions techniques are compared: “power normalized cepstral coefficients (PNCC)”, “Mel frequency cepstral coefficients (MFCC)” and “Perceptual Linear Prediction (PLP)” following a statistical comparison based on the accuracy and correctness of results attained. To attain a higher rate of accuracy level 34 phones for Punjabi language are used to break each word into small sound frames. environments using evident number of speakers giving overall system results with MFCC as finest of all three in noise-free environment and PLP to be efficient feature extraction technique in noisy environment for Punjabi speech corpus.

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Amitoj Singh
ISBN 10: 365996025X ISBN 13: 9783659960253
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Punjabi language is popular Indo-Aryan language. Its phoneme sounds are tonal in nature which dissent in almost all-Indian side of Punjab. This books focus on analysis of some pf the dominant feature extraction techniques used in Automatic Speech Recognition and analytically analyse which feature extraction techniques is best suitable for extracting features of the tone present in the Punjabi speech. Three feature extractions techniques are compared: 'power normalized cepstral coefficients (PNCC)', 'Mel frequency cepstral coefficients (MFCC)' and 'Perceptual Linear Prediction (PLP)' following a statistical comparison based on the accuracy and correctness of results attained. To attain a higher rate of accuracy level 34 phones for Punjabi language are used to break each word into small sound frames. environments using evident number of speakers giving overall system results with MFCC as finest of all three in noise-free environment and PLP to be efficient feature extraction technique in noisy environment for Punjabi speech corpus. 60 pp. Englisch. Seller Inventory # 9783659960253

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Amitoj Singh
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 365996025X ISBN 13: 9783659960253
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Punjabi language is popular Indo-Aryan language. Its phoneme sounds are tonal in nature which dissent in almost all-Indian side of Punjab. This books focus on analysis of some pf the dominant feature extraction techniques used in Automatic Speech Recognition and analytically analyse which feature extraction techniques is best suitable for extracting features of the tone present in the Punjabi speech. Three feature extractions techniques are compared: 'power normalized cepstral coefficients (PNCC)', 'Mel frequency cepstral coefficients (MFCC)' and 'Perceptual Linear Prediction (PLP)' following a statistical comparison based on the accuracy and correctness of results attained. To attain a higher rate of accuracy level 34 phones for Punjabi language are used to break each word into small sound frames. environments using evident number of speakers giving overall system results with MFCC as finest of all three in noise-free environment and PLP to be efficient feature extraction technique in noisy environment for Punjabi speech corpus. Seller Inventory # 9783659960253

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Amitoj Singh|Arshpreet Kaur
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 365996025X ISBN 13: 9783659960253
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Singh AmitojAmitoj Singh is Doctorate in computer science and working as Assistant Professor in the department of computational Sciences, MRSPTU, Punjab India. With over 12 years f experience, he has filed 04 Patent, published 32 nat. Seller Inventory # 385771249

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ISBN 10: 365996025X ISBN 13: 9783659960253
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Taschenbuch. Condition: Neu. Neuware -Punjabi language is popular Indo-Aryan language. Its phoneme sounds are tonal in nature which dissent in almost all-Indian side of Punjab. This books focus on analysis of some pf the dominant feature extraction techniques used in Automatic Speech Recognition and analytically analyse which feature extraction techniques is best suitable for extracting features of the tone present in the Punjabi speech. Three feature extractions techniques are compared: ¿power normalized cepstral coefficients (PNCC)¿, ¿Mel frequency cepstral coefficients (MFCC)¿ and ¿Perceptual Linear Prediction (PLP)¿ following a statistical comparison based on the accuracy and correctness of results attained. To attain a higher rate of accuracy level 34 phones for Punjabi language are used to break each word into small sound frames. environments using evident number of speakers giving overall system results with MFCC as finest of all three in noise-free environment and PLP to be efficient feature extraction technique in noisy environment for Punjabi speech corpus.Books on Demand GmbH, Überseering 33, 22297 Hamburg 60 pp. Englisch. Seller Inventory # 9783659960253

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Singh, Amitoj/ Kaur, Arshpreet
Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 365996025X ISBN 13: 9783659960253
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Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock. Seller Inventory # 365996025X

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Published by LAP LAMBERT Academic Publishing, 2018
ISBN 10: 365996025X ISBN 13: 9783659960253
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paperback. Condition: New. New. book. Seller Inventory # ERICA829365996025X6

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