Estimation and Weighting of Sub-band Reliability for Multi-band Speech Recognition
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조훈영
(한국과학기술원 전자전산학과)
지상문 (경성대학교 정보과학부) 오영환 (한국과학기술원 전자전산학과) |
1 |
Robust continuous speech recognition using parallel model combination
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DOI ScienceOn |
2 |
음성데이터베이스의 현황 및 과제
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3 |
A recombination strategy for multi-band speech recognition based on mutual Information criterion
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4 |
ASR based on independent processing and recombination of partial frequency bands
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5 |
Speech recognition in noise environments: A survey
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DOI ScienceOn |
6 |
Suppression of acoustic noise in speech using spectral subtraction
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DOI |
7 |
Multi-stream adaptive evidence combination for noise robust ASR
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DOI ScienceOn |
8 |
How do humans process and recognize speech?
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DOI ScienceOn |
9 |
Speech recognition by machines and humans
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DOI ScienceOn |
10 |
Adaptive ML-weighting in multi-band recombination of Gaussian mixture ASR
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11 |
Towards ASR on partially corrupted speech
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12 |
Optimization of sub-band weights using simulated noisy speech in multi-band speech recognition
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13 |
Towards a global qptimization scheme for multi-band speech recognition
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