An acoustic DSP processor with reconfigurable CNN/FFT accelerators for speech enhancement
碩士 === 國立交通大學 === 電子研究所 === 106 === This paper proposes an acoustic DSP processor with a machine learning core for speech enhancement. The accelerators for convolutional neural networks (CNN) and fast Fourier transform (FFT) computations are embedded in the acoustic processor. The CNN-based speech e...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4q7b6w |