Speaker identification using speech and lip features

Autor:	Hongbin Jia, Guobin Ou, Yi Lu Murphey, Xin Li, XiaoCao Yao
Rok vydání:	2006
Předmět:	Voice activity detection Artificial neural network Time delay neural network Computer science business.industry Speech recognition Pattern recognition Viseme Speech processing Speaker recognition Speaker diarisation Identification (information) Artificial intelligence business
Zdroj:	Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..
DOI:	10.1109/ijcnn.2005.1556307
Popis:	We present a speaker identification system that uses synchronized speech signals and lip features. We developed an algorithm that automatically extracts lip areas from speaker images, and a neural network system that integrates the two different types of signals to give accurate identification of speakers. We show that the proposed system gives better performances than the systems that use only speech or lip features in both text dependant and text independent speaker identification applications.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9a1d25c99d9cf7362192eb54c2f824b0 https://doi.org/10.1109/ijcnn.2005.1556307 Zobrazit plný text záznamu