Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 564, p.185-194 (2018)

ISBN:

9789811068744

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042385359&doi=10.1007%2f978-981-10-6875-1_19&partnerID=40&md5=18a362f70554912b09dacd17cd3c5acb

Keywords:

Hidden Markov models, Indian languages, Intelligent computing, Isolated words, LPCC, Markov processes, MFCC, Space environment, Speech recognition, Speech to texts, Test sets, Triphones

Abstract:

<p>This paper aims to discuss the development of an isolated word recognizer for the Indian language Kannada. The word recognizer is built using HTK, which is based on HMM. The system is trained using triphone HMMs for Kannada words in open space environment from 10 speakers and tested using data from 4 speakers. This paper also gives a comparison of results between MFCC and LPCC techniques for four different test sets. © Springer Nature Singapore Pte Ltd. 2018.</p>

Notes:

cited By 0; Conference of International Conference on Advanced Computing and Intelligent Engineering, ICACIE 2016 ; Conference Date: 23 December 2016 Through 25 December 2016; Conference Code:208989

Cite this Research Publication

V. Sneha, Hardhika, G., K. Priya, J., and Gupta, D., “Isolated Kannada speech recognition using HTK—A detailed approach”, Advances in Intelligent Systems and Computing, vol. 564, pp. 185-194, 2018.

207
PROGRAMS
OFFERED
5
AMRITA
CAMPUSES
15
CONSTITUENT
SCHOOLS
A
GRADE BY
NAAC, MHRD
8th
RANK(INDIA):
NIRF 2018
150+
INTERNATIONAL
PARTNERS