Some Investigations on Attention Mechanism based Deep Learning Models for Speech Enhancement / Yechuri Sivaramakrishna
Material type:
- Speech Enhancement; NMF; Adaptive Wiener Gain; Inverse Nakagami; Erlang; Inverse Gamma; Students-t Probability Density Functions; U-Net; GRU; Multi Scale Feature Extraction Block; D3Net; Efficient Channel Attention; Cross-channel Interaction; Feature Calibration; Time-Frequency Attention; Multi-Scale Sub-convolutional Layers; TAN; ATFA; MSE; SDR; PESQ; STOI
- 23rd Ed. 006.31 SIV
Item type | Current library | Collection | Call number | Status | Notes | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Thesis | VIT-AP Reference | Reference | 006.31 SIV (Browse shelf(Opens below)) | Not for loan | ECE | TH62 |
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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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