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4 篇文献
 
Noisy speech recognition based on selection of multiple noise suppression methods using noise GMMs  
To achieve high recognition performance for a wide variety of noise and for a wide range of signal-to-noise ratio, this paper presents integration methods of four noise reduction algorithms: spectral ......
Annual Conference of the International Speech Communication Association  2006
0次引用 0 0
Voice activity detection based on optimally weighted combination of multiple features  
This paper presents a voice activity detection (VAD) scheme that is robust against noise, based on an optimally weighted combination of features. The scheme uses a weighted com- bination of four conve......
Annual Conference of the International Speech Communication Association  2005
3次引用 0 0
Evaluation of voice activity detection by combining multiple features with weight adaptation  
For noise-robust automatic speech recognition (ASR), we propose a novel voice activity detection (VAD) method based on a combination of multiple features. The scheme uses a weighted combination of fou......
Annual Conference of the International Speech Communication Association  2006
0次引用 0 0
DATA COLLECTION AND EVALUATION OF AURORA-2 JAPANESE CORPUS  
Speech recognition systems must still be improved when they are exposed to noisy environments. For this improvement, develop- ments of the standard evaluation corpus and assessment technolo- gies are ......
5次引用 0 0

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