VoiceStudio: a HMM-based tool for research and teaching in the speech recognition field [articol]

Căruntu, Alexandru; Toderean, Gavril; Nica, Alina

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dc.contributor.author	Căruntu, Alexandru
dc.contributor.author	Toderean, Gavril
dc.contributor.author	Nica, Alina
dc.date.accessioned	2020-04-09T10:05:35Z
dc.date.accessioned	2021-03-01T08:39:59Z
dc.date.available	2020-04-09T10:05:35Z
dc.date.available	2021-03-01T08:39:59Z
dc.date.issued	2006
dc.identifier.citation	Căruntu, Alexandru. VoiceStudio: a HMM-based tool for research and teaching in the speech recognition field. Timişoara: Editura Politehnica, 2006	en_US
dc.identifier.uri	http://primo.upt.ro:1701/primo-explore/search?query=any,contains,VoiceStudio:%20a%20HMM-based%20tool%20for%20research%20and%20teaching%20in%20the%20speech%20recognition%20field&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract	This paper introduces the Romanian speech recognition system VoiceStudio. As most state-of-the-art Automatic Speech Recognition (ASR) systems today, it is based on Hidden Markov Models. Although there are numerous toolkits designed for this task, they usually have no visual interface, which means that the student or the researcher needs to spend some considerably amount of time in order to learn their functionality. The system’s modular design, together with some implementation issues are pointed out, as well as the future plans of development.	en_US
dc.language.iso	en	en_US
dc.publisher	Timişoara: Editura Politehnica	en_US
dc.relation.ispartofseries	Seria electronică şi telecomunicaţii, Tom 51(65), fasc. 2 (2006)
dc.subject	Speech recognition	en_US
dc.subject	Hidden Markov model	en_US
dc.subject	Visual interface	en_US
dc.title	VoiceStudio: a HMM-based tool for research and teaching in the speech recognition field [articol]	en_US
dc.type	Article	en_US