Robust voice activity detection using DNN approaches
Voice activity detection (VAD) is a pivotal component in various speech processing applications, playing a crucial role in tasks such as speech recognition, speaker diarization, and noise suppression. Recognizing its significance, this thesis delves into the exploration of advancements in single-cha...
Saved in:
主要作者: | Parashar Kshitij |
---|---|
其他作者: | Chng Eng Siong |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2024
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/175226 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Voice activity detection from electrocorticographic signals
由: Kanas, V.G., et al.
出版: (2016) -
MACHINE LEARNING FOR LIMITED DATA VOICE CONVERSION
由: BERRAK SISMAN
出版: (2020) -
MACHINE LEARNING TECHNIQUES FOR HIGHLY ENERGY-EFFICIENT CIRCUITS
由: TEO JINQ HORNG
出版: (2020) -
TOWARDS SCALABLE GRADIENT-BASED HYPERPARAMETER OPTIMIZATION IN DEEP NEURAL NETWORKS
由: FU JIE
出版: (2017) -
Multi-stage DNN training for automatic recognition of dysarthric speech
由: Yilmaz E., et al.
出版: (2018)