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

Mohammad Faisal (u. a.)

ISBN 10: 3659595659 / ISBN 13: 9783659595653

Published by LAP LAMBERT Academic Publishing, 2014

About this Item

Automatic Isolated Speech Recognition System Using MFCC Analysis | A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC | Mohammad Faisal (u. a.) | Taschenbuch | 116 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659595653 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 105100358

Bibliographic Details

• Title: Automatic Isolated Speech Recognition System Using MFCC Analysis | A successful research project executed by Department ofElectrical & Electronic Engineering (EEE),IIUC
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2014
• Language: English
• ISBN 10: 3659595659
• ISBN 13: 9783659595653
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 191 grams
• Seller catalogs:
  • Bücher

About this title

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.

About the Author

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.