Feature Adaptation Using Linear Spectro-Temporal Transform for Robust Speech Recognition

Feature Adaptation Using Linear Spectro-Temporal Transform for Robust Speech Recognition

Spectral information represents short-term speech information within a frame of a few tens of milliseconds, while temporal information captures the evolution of speech statistics over consecutive frames. Motivated by the findings that human speech comprehension relies on the integrity of both the sp...

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Dettagli Bibliografici
Autori principali:	Nguyen, Duc Hoang Ha, Xiao, Xiong, Chng, Eng Siong, Li, Haizhou
Altri autori:	School of Computer Science and Engineering
Natura:	Journal Article
Lingua:	English
Pubblicazione:	2016
Soggetti:	Feature adaptation Temporal filtering
Accesso online:	https://hdl.handle.net/10356/84664 http://hdl.handle.net/10220/41916

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