| dc.contributor.author |
Kannan, Balakrishnan |
|
| dc.contributor.author |
Cini, Kurian |
|
| dc.date.accessioned |
2014-07-22T09:38:57Z |
|
| dc.date.available |
2014-07-22T09:38:57Z |
|
| dc.date.issued |
2013-12 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4227 |
|
| dc.description |
Sadhana Vol. 38, Part 6, December 2013, pp. 1339–1346 |
en_US |
| dc.description.abstract |
A connected digit speech recognition is important in many applications
such as automated banking system, catalogue-dialing, automatic data entry, automated
banking system, etc. This paper presents an optimum speaker-independent connected
digit recognizer forMalayalam language. The system employs Perceptual Linear Predictive
(PLP) cepstral coefficient for speech parameterization and continuous density
Hidden Markov Model (HMM) in the recognition process. Viterbi algorithm is used
for decoding. The training data base has the utterance of 21 speakers from the age
group of 20 to 40 years and the sound is recorded in the normal office environment
where each speaker is asked to read 20 set of continuous digits. The system obtained
an accuracy of 99.5 % with the unseen data. |
en_US |
| dc.description.sponsorship |
Cochin University of Science & Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
Indian Academy of Sciences |
en_US |
| dc.subject |
Malayalam speech recognition |
en_US |
| dc.subject |
perceptual linear predictive (PLP). |
en_US |
| dc.title |
Connected digit speech recognition system for Malayalam language |
en_US |
| dc.type |
Article |
en_US |