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碩士 === 國立中央大學 === 數學系 === 107 === Speech recognition is part of the artificial intelligence that is highly concerned, but is limited by different environmental influences. It is still a difficult subject to have a system that can be clearly identified as humans. This study aims to investigate the fu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/kdu3v3 |
| Summary: | 碩士 === 國立中央大學 === 數學系 === 107 === Speech recognition is part of the artificial intelligence that is highly
concerned, but is limited by different environmental influences. It is
still a difficult subject to have a system that can be clearly identified
as humans. This study aims to investigate the functionality of the Mel
Frequency Cepstral Coefficients (MFCCs) and the Connectionist Temporal
Classification (CTC) on speech recognition systems. This study uses the
noise-free corpus provided on github to construct a recursive neural
network model in different ways, and selects some variables as the object
of discussion and comparison.
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