Speech Enhancement Based on the Integration of Fully Convolutional Network, Temporal Lowpass Filtering and Spectrogram Masking
碩士 === 國立暨南國際大學 === 電機工程學系 === 107 === In this study, we focus on the issue of noise distortion in speech signals, and develop two novel unsupervised speech enhancement algorithms including temporal lowpass filtering (TLF) and relative-to-maximum masking (RMM). Both of these two algorithms are condu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/f6vwk9 |