DocumentCode :
679815
Title :
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
Link To Document :
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