Sound source separation algorithm using phase difference and angle distribution modeling near the target
暂无分享,去创建一个
[1] Richard M. Stern,et al. Physiologically-motivated synchrony-based processing for robust automatic speech recognition , 2006, INTERSPEECH.
[2] Richard M. Stern,et al. Power-Normalized Cepstral Coefficients (PNCC) for Robust Speech Recognition , 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[3] Richard M. Stern,et al. Robust speech recognition using a Small Power Boosting algorithm , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[4] Hynek Hermansky,et al. Robust spectro-temporal features based on autoregressive models of Hilbert envelopes , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[5] Richard M. Stern,et al. Robust speech recognition using temporal masking and thresholding algorithm , 2014, INTERSPEECH.
[6] Richard M. Stern,et al. Nonlinear enhancement of onset for robust speech recognition , 2010, INTERSPEECH.
[7] Richard M. Stern,et al. Binaural sound source separation motivated by auditory processing , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Chanwoo Kim,et al. Robust DTW-based recognition algorithm for hand-held consumer devices , 2005, IEEE Transactions on Consumer Electronics.
[9] R. Viswanathan,et al. An introduction to statistical signal processing with applications , 1979 .
[10] Hynek Hermansky,et al. Spectral entropy based feature for robust ASR , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[11] Richard M. Stern,et al. Signal separation for robust speech recognition based on phase difference information obtained in the frequency domain , 2009, INTERSPEECH.
[12] Richard M. Stern,et al. Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power flooring , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] Richard M. Stern,et al. A vector Taylor series approach for environment-independent speech recognition , 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.
[14] Richard M. Stern,et al. Two-microphone source separation algorithm based on statistical modeling of angle distributions , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[15] Hermann Ney,et al. Histogram based normalization in the acoustic feature space , 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..
[16] Richard M. Stern,et al. Power function-based power distribution normalization algorithm for robust speech recognition , 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.
[17] Climent Nadeu,et al. On Real-Time Mean-and-Variance Normalization of Speech Recognition Features , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[18] Martin Heckmann,et al. A hierarchical framework for spectro-temporal feature extraction , 2011, Speech Commun..
[19] Richard M. Stern,et al. Feature extraction for robust speech recognition using a power-law nonlinearity and power-bias subtraction , 2009, INTERSPEECH.
[20] Geoffrey W. Hill,et al. Algorithm 518: Incomplete Bessel Function I0. The Von Mises Distribution [S14] , 1977, TOMS.
[21] Jont B. Allen,et al. Image method for efficiently simulating small‐room acoustics , 1976 .
[22] Richard M. Stern,et al. Automatic selection of thresholds for signal separation algorithms based on interaural delay , 2010, INTERSPEECH.
[23] Richard M. Stern,et al. COMPENSATION FOR ENVIRONMENTAL DEGRADATION IN AUTOMATIC SPEECH RECOGNITION , 1999 .