Automatic Speech Segmentation Based on HMM

Autor:	Kroul, Martin
Jazyk:	angličtina
Rok vydání:	2007
Předmět:	automatic segmentation triphones Speech processing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION alignment lcsh:Electrical engineering. Electronics. Nuclear engineering HMM lcsh:TK1-9971 speech database monophones
Zdroj:	Radioengineering, Vol 16, Iss 2, Pp 56-61 (2007) Radioengineering. 2007, vol. 16, č. 2, s. 56-61. ISSN 1210-2512
ISSN:	1210-2512
Popis:	This contribution deals with the problem of automatic phoneme segmentation using HMMs. Automatization of speech segmentation task is important for applications, where large amount of data is needed to process, so manual segmentation is out of the question. In this paper we focus on automatic segmentation of recordings, which will be used for triphone synthesis unit database creation. For speech synthesis, the speech unit quality is a crucial aspect, so the maximal accuracy in segmentation is needed here. In this work, different kinds of HMMs with various parameters have been trained and their usefulness for automatic segmentation is discussed. At the end of this work, some segmentation accuracy tests of all models are presented.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6e3246c0112bfc76c46f34891bf91662 http://www.radioeng.cz/fulltexts/2007/07_02_56_61.pdf Zobrazit plný text záznamu