Experiments on cross-language attribute detection and phone recognition with minimal target-specific training data
A state-of-the-art automatic speech recognition (ASR) system can often achieve high accuracy for most spoken languages of interest if a large amount of speech material can be collected and used to train a set of language-specific acoustic phone models. However, designing good ASR systems with little...
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| Main Authors: | , , , |
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| 格式: | Article |
| 語言: | English |
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2013
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| 在線閱讀: | https://hdl.handle.net/10356/102781 http://hdl.handle.net/10220/16448 |
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