COMPARATIVE STUDY OF MFCC ANDLPC FOR MARATHI ISOLATED WORDRECOGNITION SYSTEM

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

Leena R Mehta¹  S.P.Mahajan²  Amol S Dabhade³ 

[1] Dept. of ECE, Cusrow Wadia Institute of Technology;Dept. of ECE, College of Engineering;Dept. of ECE, College of Engieering

关键词: Marathi database;    Feature extraction;    LPC;    MFCC;    VQ;    Recognition;   

来源: Research & Reviews

【 摘 要 】

This Paper presents Marathi database and isolated word recognition system using Mel-frequency cepstrum coefficients (MFCC) and vector quantization (VQ) technique. It also compares the performances of MFCC and LPC features under VQ environment. Marathi speech database is recorded in noisy environment aiming language learning tool as an application. The database consists of simple Marathi words starting with both vowels and consonants. Each word has been repeated 10 times by one male and one female speaker. This paper presents comparative plots of MFCC and LPC features.

【 授权许可】

Unknown