| dc.contributor.author |
Kannan, Balakrishnan |
|
| dc.contributor.author |
Cini, Kurian |
|
| dc.date.accessioned |
2014-07-22T06:04:00Z |
|
| dc.date.available |
2014-07-22T06:04:00Z |
|
| dc.date.issued |
2011-04 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4200 |
|
| dc.description |
International Journal of Computer Applications (0975 – 8887)
Volume 19– No.5, April 2011 |
en_US |
| dc.description.abstract |
Malayalam is one of the 22 scheduled languages in India with
more than 130 million speakers. This paper presents a report on
the development of a speaker independent, continuous
transcription system for Malayalam. The system employs
Hidden Markov Model (HMM) for acoustic modeling and Mel
Frequency Cepstral Coefficient (MFCC) for feature extraction.
It is trained with 21 male and female speakers in the age group
ranging from 20 to 40 years. The system obtained a word
recognition accuracy of 87.4% and a sentence recognition
accuracy of 84%, when tested with a set of continuous speech
data. |
en_US |
| dc.description.sponsorship |
Cochin University of Science
& Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.subject |
HMM |
en_US |
| dc.subject |
MFCC |
en_US |
| dc.subject |
Speech Recognition |
en_US |
| dc.subject |
Transcription systems |
en_US |
| dc.title |
Automated Transcription System for Malayalam Language |
en_US |
| dc.type |
Article |
en_US |