Exploring Low-dimensional Structures of Modulation Spectra for Robust Speech Recognition
碩士 === 國立臺灣師範大學 === 資訊工程學系 === 105 === Developments of noise robustness techniques are vital to the success of automatic speech recognition (ASR) systems in face of varying sources of environmental interference. Recent studies have shown that exploring low dimensionality of speech features can yield...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2017
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| Online Access: | http://ndltd.ncl.edu.tw/handle/53ga97 |