Isolated word recognition using MFCC-LPC-VQ and Hidden Markov Model - Softcover

Patil, Mahesh; Admuthe, Lalita; Kapase, Niraj

Softcover

ISBN 10: 3659942839 ISBN 13: 9783659942839

Publisher: LAP LAMBERT Academic Publishing, 2016

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.

About this title

About the Author

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.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2016
• Language: English
• ISBN 10: 3659942839
• ISBN 13: 9783659942839
• Binding: Paperback
• Number of pages: 80