Studying on Tibetan news reading modeling based on respiration signals

Autor:	Fang Huaping, Zhang Jinshuang, Yu Hongzhi
Rok vydání:	2011
Předmět:	business.industry Computer science media_common.quotation_subject Speech recognition Speech synthesis computer.software_genre Speech processing Signal Rhythm Reading (process) Respiration Artificial intelligence business computer Natural language processing media_common
Zdroj:	2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering.
DOI:	10.1109/ccieng.2011.6008008
Popis:	From the speech physiology, this paper has analyzed for respiratory signals and speech signals, done the signal acquisitions from 20 Tibetan news papers with respiration sensors and EMG, extracted the relevant parameters and worked out the inner-relationship between respiration and rhythm, in order to build respiratory models of news reading process and provide the foundation for speech prosodic synthesis studying and speech multi-modeling research.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b4fecd0db912449128a29d34a05ad0d9 https://doi.org/10.1109/ccieng.2011.6008008 Zobrazit plný text záznamu