Some Investigations On Deep Learning Based Single Channel Speech Enhancement / Jannu Chaitanya
Material type:
- NMF- Non-negative Matrix Factorization; SE-Speech Enhancement; shuffle attention; GA-Genetic Algorithm; S-TCN - Squeezed Temporal Convolutional Networks; TFA - Time-Frequency Attention; DNN-Deep Neural Network; multi-stage learning; MHA - Multi-Head Attention; two-stage convolutional transformer; feed-forward network
- 23rd Ed. 006.31 CHA
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | VIT-AP Reference | Reference | 006.31 CHA (Browse shelf(Opens below)) | Not for loan | ECE | TH61 |
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It includes Abstract, Acknowledgement, Table of Contents, List of Figures, List of Tables, List of Terms and Abbreviations, and Chapters etc.
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