Unsupervised Discovery of Structured Acoustic Tokens and Speech Features with Applications to Spoken Term Detection
博士 === 國立臺灣大學 === 電機工程學研究所 === 105 === In the era of big data, huge quantities of raw speech data is easy to obtain, but annotated speech data remain hard to acquire. This leads to the increased importance of unsupervised learning scenarios where annotated data is not required, a typical application...
| 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/p9p96r |