Combining GMM, Jensen's inequality and BIC for speaker indexing

Autor:	Jun He, Jichen Yang, Qianhua He, Li Weixiong, Yanxiong Li, Xue-yuan Zhang
Rok vydání:	2010
Předmět:	business.industry Speech recognition Search engine indexing Pattern recognition Mixture model Speech processing symbols.namesake Bayesian information criterion symbols Artificial intelligence Electrical and Electronic Engineering business Gaussian process Jensen's inequality Mathematics
Zdroj:	Electronics Letters. 46:654
ISSN:	0013-5194
Popis:	According to Jensen's inequality, the Bayesian information criterion (BIC) based on the Gaussian mixture model (GMM) is applied to speaker indexing. It can utilise the advantages of BIC and GMM. Experimental results have demonstrated that it is superior to both single-Gaussian-based BIC and GMM for speaker indexing.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b6fe8ca6764db89496c447eae9a002a8 https://doi.org/10.1049/el.2010.3003 Zobrazit plný text záznamu