Mismatch problem in deep-learning based speech enhancement
Speech enhancement aims to suppress background noise in noisy speech signals in order to improve speech perceptual quality and intelligibility. For tasks utilizing deep learning mechanisms, the training and testing data are usually assumed to have the same probability distribution. However, real-lif...
Saved in:
主要作者: | Hou, Nana |
---|---|
其他作者: | Chng Eng Siong |
格式: | Thesis-Doctor of Philosophy |
語言: | English |
出版: |
Nanyang Technological University
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/159197 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Deep learning for speech synthesis
由: Duan, Yue
出版: (2022) -
Deep learning architectures for speech recognition
由: Yong, Jia Jie
出版: (2018) -
Deep learning techniques for hate speech detection
由: Han, Angel Feng Yi
出版: (2023) -
Domain adversarial training for speech enhancement
由: Hou, Nana, et al.
出版: (2020) -
Deep learning techniques for hate speech detection
由: Lee, Yuan Cheng
出版: (2023)