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Synopsis
Speech recognition has been an integral part of human life acting as one of the five senses of human body, because of which application developed on the basis of speech recognition has high degree of acceptance. The analysis of the different steps involved in isolated word recognition using Mel Frequency cepstral coefficients (MFCC), Vector quantization (VQ) and Hidden Markov Model (HMM) is seen here. The simple and efficient approach is used here which can be utilised in embedded systems. After analysing the steps above we realised the process using small programs using MATLAB which is able to do small number of isolated word recognition.The work done here develops a speaker independent isolated word recognizer from the acoustic signals based on a discrete observation Hidden Markov Model (HMM). The study implements the HMM based isolated word recognizer in three steps- Speech Segmentation,Feature extraction and Feature Matching.
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À propos de l?auteur
Prof. Mahesh K. Patil completed M.E.(Electronics Engg.) from Shivaji University India. He is currently working as Assistant Professor in DKTES's TEI Ichalkarnji,Maharashtra, India. His academic experience is 6 years. His area of specialization is speech processing, Electromagnetic and Microwave engineering.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659942839
ISBN 13 : 9783659942839
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Patil MaheshProf. Mahesh K. Patil completed M.E.(Electronics Engg.) from Shivaji University India. He is currently working as Assistant Professor in DKTES s TEI Ichalkarnji,Maharashtra, India. His academic experience is 6 years. His . N° de réf. du vendeur 158878013
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Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659942839
ISBN 13 : 9783659942839
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Speech recognition has been an integral part of human life acting as one of the five senses of human body, because of which application developed on the basis of speech recognition has high degree of acceptance. The analysis of the different steps involved in isolated word recognition using Mel Frequency cepstral coefficients (MFCC), Vector quantization (VQ) and Hidden Markov Model (HMM) is seen here. The simple and efficient approach is used here which can be utilised in embedded systems. After analysing the steps above we realised the process using small programs using MATLAB which is able to do small number of isolated word recognition.The work done here develops a speaker independent isolated word recognizer from the acoustic signals based on a discrete observation Hidden Markov Model (HMM). The study implements the HMM based isolated word recognizer in three steps- Speech Segmentation,Feature extraction and Feature Matching. N° de réf. du vendeur 9783659942839
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Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model
Edité par
LAP LAMBERT Academic Publishing Aug 2016, 2016
ISBN 10 : 3659942839
ISBN 13 : 9783659942839
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Speech recognition has been an integral part of human life acting as one of the five senses of human body, because of which application developed on the basis of speech recognition has high degree of acceptance. The analysis of the different steps involved in isolated word recognition using Mel Frequency cepstral coefficients (MFCC), Vector quantization (VQ) and Hidden Markov Model (HMM) is seen here. The simple and efficient approach is used here which can be utilised in embedded systems. After analysing the steps above we realised the process using small programs using MATLAB which is able to do small number of isolated word recognition.The work done here develops a speaker independent isolated word recognizer from the acoustic signals based on a discrete observation Hidden Markov Model (HMM). The study implements the HMM based isolated word recognizer in three steps- Speech Segmentation,Feature extraction and Feature Matching. 80 pp. Englisch. N° de réf. du vendeur 9783659942839
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Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model
Edité par
LAP LAMBERT Academic Publishing Aug 2016, 2016
ISBN 10 : 3659942839
ISBN 13 : 9783659942839
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -Speech recognition has been an integral part of human life acting as one of the five senses of human body, because of which application developed on the basis of speech recognition has high degree of acceptance. The analysis of the different steps involved in isolated word recognition using Mel Frequency cepstral coefficients (MFCC), Vector quantization (VQ) and Hidden Markov Model (HMM) is seen here. The simple and efficient approach is used here which can be utilised in embedded systems. After analysing the steps above we realised the process using small programs using MATLAB which is able to do small number of isolated word recognition.The work done here develops a speaker independent isolated word recognizer from the acoustic signals based on a discrete observation Hidden Markov Model (HMM). The study implements the HMM based isolated word recognizer in three steps- Speech Segmentation,Feature extraction and Feature Matching.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. N° de réf. du vendeur 9783659942839
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Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model
Edité par
LAP LAMBERT Academic Publishing, 2016
ISBN 10 : 3659942839
ISBN 13 : 9783659942839
Neuf
Paperback
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Paperback. Etat : Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3659942839
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