Automatic Isolated Speech Recognition System Using MFCC Analysis: A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC - Couverture souple

Faisal, Mohammad; Ullah, Aasim; Shakil, Daud

 
9783659595653: Automatic Isolated Speech Recognition System Using MFCC Analysis: A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC
Couverture souple
ISBN 10 : 3659595659 ISBN 13 : 9783659595653
Editeur : LAP Lambert Academic Publishing, 2014

Synopsis

This is all about a successfully implemented research project which is expected to be a commercial product in future. Objective of the research is to develop an Automatic Isolated Speech Recognition System (AISR) which will be able to classify four distinct words class enunciated as “GO”, “STOP”, “LEFT” and “RIGHT”. Speech data are analyzed mainly with Mel Frequency Cepstrum Coefficients (MFCC) analysis along with some subsidiary DSP processing to create compact and prolific speech database. While Artificial Neural Network (ANN) is used as a classifier or recognizer to classify among the four distinct word classes. In order to justify feasibility and effectiveness of proposed ASR system a small scale application is implemented as well with designated speech classes.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Mohammad Faisal & Aasim Ullah are senior faculty members of International Islamic University of Chittagong(IIUC),Bangladesh. Daud Shakil, a bachelor student from same alma mater researched on Speech Recognition System under their supervision.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP Lambert Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659595659
ISBN 13 
9783659595653
Reliure
Broché
Nombre de pages
116
Coordonnées du fabricant
non disponible
Personne responsable
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