Isolated digit recognition for Malayalam- An application perspective

Author

Renjith, S. ; Joseph, Alvin ; Babu, K. K. Anish

Author_Institution

Dept. of Electron. & Commun. Eng., Rajiv Gandhi Inst. of Technol., Kottayam, India

fYear

2013

fDate

13-15 Dec. 2013

Firstpage

190

Lastpage

193

Abstract

Speech recognition is one of the promising technologies of the future. Voice user interfaces play an important role in many real world applications. This paper presents speaker independent isolated digit recognition for Malayalam language and reveals some application areas of digit recognition. Mel-Frequency Cepstral Coefficient (MFCC) is used as feature and Hidden Markov Model (HMM) is used as the signal processing algorithm for recognition. We also developed a computer application which uses the digit recognition system as the backbone structure.

Keywords

cepstral analysis; hidden Markov models; natural language processing; speech recognition; HMM; MFCC; Malayalam language; hidden Markov model; mel-frequency cepstral coefficient; signal processing algorithm; speaker-independent isolated digit recognition system; speech recognition; voice user interfaces; Accuracy; Hidden Markov models; Mel frequency cepstral coefficient; Speech; Speech recognition; Testing; Training;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Communication and Computing (ICCC), 2013 International Conference on

Conference_Location

Thiruvananthapuram

Print_ISBN

978-1-4799-0573-7

Type

conf

DOI

10.1109/ICCC.2013.6731648

Filename

6731648