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Synopsis
This book introduced an approach to design and implement an embedded SoPC (System on Programmable Chip) technique with Altera Nios II processor on a FPGA chip for real-time speech recognition system by developing hardware/software with minimum usage of resources (hardware components) and relatively small size software. This reduces the memory utilization, achieved by using Mel Frequency Cepstral Coefficients (MFCCs) technique as feature extraction combined with its first derivative (∆MFCCs) including power computation of the speech frames (i.e. E,MFCC,∆E,and ∆MFCC), called observation vector of the speech signal. To model the obtained observation, Gaussian Mixture Model (GMM) has been used, which is passed to a Hidden Markov Model (HMM) as probabilistic model to process the GMM statistically to take a decision on the uttered words recognition, whether a single or composite, one or more syllable words (i.e. one, six, welcome). The words that are used for training and testing the system included selected English and Arabic words.
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About the Author
B.Sc. Electronics and Communication Engineering.Higher Diploma Computer Science / Artificial Intelligence.M.Sc. Electronics Engineering.GSM mobile communication.Computer Networking/Administration.Digital System Design.Embedded Systems(SoPC).
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2014
- ISBN 10 3847346024
- ISBN 13 9783847346029
- BindingPaperback
- LanguageEnglish
- Number of pages132
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FPGA Implementation of Speech Recognition System Based on HMM
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LAP LAMBERT Academic Publishing Mrz 2014, 2014
ISBN 10: 3847346024
ISBN 13: 9783847346029
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduced an approach to design and implement an embedded SoPC (System on Programmable Chip) technique with Altera Nios II processor on a FPGA chip for real-time speech recognition system by developing hardware/software with minimum usage of resources (hardware components) and relatively small size software. This reduces the memory utilization, achieved by using Mel Frequency Cepstral Coefficients (MFCCs) technique as feature extraction combined with its first derivative ( MFCCs) including power computation of the speech frames (i.e. E,MFCC, E,and MFCC), called observation vector of the speech signal. To model the obtained observation, Gaussian Mixture Model (GMM) has been used, which is passed to a Hidden Markov Model (HMM) as probabilistic model to process the GMM statistically to take a decision on the uttered words recognition, whether a single or composite, one or more syllable words (i.e. one, six, welcome). The words that are used for training and testing the system included selected English and Arabic words. 132 pp. Englisch. Seller Inventory # 9783847346029
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FPGA Implementation of Speech Recognition System Based on HMM
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3847346024
ISBN 13: 9783847346029
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Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduced an approach to design and implement an embedded SoPC (System on Programmable Chip) technique with Altera Nios II processor on a FPGA chip for real-time speech recognition system by developing hardware/software with minimum usage of resources (hardware components) and relatively small size software. This reduces the memory utilization, achieved by using Mel Frequency Cepstral Coefficients (MFCCs) technique as feature extraction combined with its first derivative ( MFCCs) including power computation of the speech frames (i.e. E,MFCC, E,and MFCC), called observation vector of the speech signal. To model the obtained observation, Gaussian Mixture Model (GMM) has been used, which is passed to a Hidden Markov Model (HMM) as probabilistic model to process the GMM statistically to take a decision on the uttered words recognition, whether a single or composite, one or more syllable words (i.e. one, six, welcome). The words that are used for training and testing the system included selected English and Arabic words. Seller Inventory # 9783847346029
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FPGA Implementation of Speech Recognition System Based on HMM
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3847346024
ISBN 13: 9783847346029
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Refeis AlaaB.Sc. Electronics and Communication Engineering.Higher Diploma Computer Science / Artificial Intelligence.M.Sc. Electronics Engineering.GSM mobile communication.Computer Networking/Administration.Digital System Design.Embe. Seller Inventory # 5511598
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FPGA Implementation of Speech Recognition System Based on HMM
Published by
LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3847346024
ISBN 13: 9783847346029
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