On subband-based blind separation for noisy speech recognition
作者： Hyung-Min Park , Ho-Young Jung , Soo-Young Lee , Te-Won Lee
DOI: 10.1109/ICONIP.1999.843987
关键词:
摘要: A method for denoising noisy speech signals in the feature extraction process robust recognition is proposed. The uses independent component analysis, which a noise signal linearly separated from two microphone recordings. In addition, optimized by computing modified band that sums up FFT point values several divided ranges of one band, and computes each energy using summed values. Thus, number unmixing networks reduced. For instantaneous mixtures noise, showed same performance as clean case. recorded real environments, rate was considerably increased after separation methods particularly effective very low to ratio.
sci-hub.se 参考文章(6)
A.P. Varga, R.K. Moore, Hidden Markov model decomposition of speech and noise international conference on acoustics, speech, and signal processing. pp. 845- 848 ,(1990) , 10.1109/ICASSP.1990.115970
Anthony J. Bell, Terrence J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution Neural Computation. ,vol. 7, pp. 1129- 1159 ,(1995) , 10.1162/NECO.1995.7.6.1129
S. Boll, Suppression of acoustic noise in speech using spectral subtraction IEEE Transactions on Acoustics, Speech, and Signal Processing. ,vol. 27, pp. 113- 120 ,(1979) , 10.1109/TASSP.1979.1163209
T.-W. Lee, A.J. Bell, R. Orglmeister, Blind source separation of real world signals Proceedings of International Conference on Neural Networks (ICNN'97). ,vol. 4, pp. 2129- 2134 ,(1997) , 10.1109/ICNN.1997.614235
H. Hermansky, N. Morgan, H.-G. Hirsch, Recognition of speech in additive and convolutional noise based on RASTA spectral processing IEEE International Conference on Acoustics Speech and Signal Processing. ,vol. 2, pp. 83- 86 ,(1993) , 10.1109/ICASSP.1993.319236
Doh-Suk Kim, Soo-Young Lee, R.M. Kil, Auditory processing of speech signals for robust speech recognition in real-world noisy environments IEEE Transactions on Speech and Audio Processing. ,vol. 7, pp. 55- 69 ,(1999) , 10.1109/89.736331