Robust Speaker Identification Systems against Additive Noise and Reverberation
碩士 === 國立交通大學 === 電信工程研究所 === 100 === Conventional speaker recognition systems usually use MFCCs as features, which are known as low-level features and the performance are severely compromised by interference, such as additive or convolutional noises. On the contrary, the high-level features seemed...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2011
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Online Access: | http://ndltd.ncl.edu.tw/handle/82731413646820206152 |