Automatic speech recognition system for Tamil language

Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/2271

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DC Field	Value	Language
dc.contributor.author	Kalith, Ibralebbe Mohamed	-
dc.date.accessioned	2017-02-06T09:43:14Z	-
dc.date.available	2017-02-06T09:43:14Z	-
dc.date.issued	2011-08-24	-
dc.identifier.citation	29th National IT Conference 2011 on “Exploiting ICT Trends for Collaborative Development”. 24 August 2011. Colombo, Sri Lanka, pp. 81-85.	en_US
dc.identifier.uri	http://ir.lib.seu.ac.lk/handle/123456789/2271	-
dc.description.abstract	This paper presents a design and development of Speech Recognition System for Tamil languages. This system is based on CMU Sphinx 3 open sound speech recognition (ASR) engine developed by Carnegie Mellon University. This system should be adapt to speaker specific automatic, continues. One of the main components of this system is a core Tamil speech recognition system that can be trained with field specific data The target domain is the accent spoken by illiterate speaker in Tamil from Eastern area of Sri Lanka. The system is trained for speaker specific data and tested with speaker specific and speaker independent and has been adapted to home and office level back ground noise.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Computer Society of Sri Lanka	en_US
dc.subject	Acoustic model	en_US
dc.subject	Speech recognition	en_US
dc.subject	Hidden markov model	en_US
dc.subject	Tamil language	en_US
dc.title	Automatic speech recognition system for Tamil language	en_US
dc.type	Article	en_US
Appears in Collections:	Research Articles

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