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...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Article |
語言: | English |
出版: |
2016
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/84664 http://hdl.handle.net/10220/41916 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |