A reverberation-time-aware DNN approach leveraging spatial information for microphone array dereverberation
暂无分享,去创建一个
Tong Wang | Chin-Hui Lee | Zhen Huang | Sabato Marco Siniscalchi | Kehuang Li | Minglei Yang | Bo Wu
[1] T. Aaron Gulliver,et al. Single-Microphone Early and Late Reverberation Suppression in Noisy Speech , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[2] Boaz Rafaely,et al. Microphone Array Signal Processing , 2008 .
[3] Michael S. Brandstein,et al. Microphone Arrays - Signal Processing Techniques and Applications , 2001, Microphone Arrays.
[4] Tomohiro Nakatani,et al. Suppression of Late Reverberation Effect on Speech Signal Using Long-Term Multiple-step Linear Prediction , 2009, IEEE Transactions on Audio, Speech, and Language Processing.
[5] DeLiang Wang,et al. A two-stage algorithm for one-microphone reverberant speech enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[7] Biing-Hwang Juang,et al. Blind speech dereverberation with multi-channel linear prediction based on short time fourier transform representation , 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.
[8] Biing-Hwang Juang,et al. Speech Dereverberation Based on Variance-Normalized Delayed Linear Prediction , 2010, IEEE Transactions on Audio, Speech, and Language Processing.
[9] Edward J. Wegman,et al. Statistical Signal Processing , 1985 .
[10] Emanuel A. P. Habets,et al. A Two-Stage Beamforming Approach for Noise Reduction and Dereverberation , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[11] E. Lehmann,et al. Prediction of energy decay in room impulse responses simulated with an image-source model. , 2008, The Journal of the Acoustical Society of America.
[12] Jun Du,et al. An Experimental Study on Speech Enhancement Based on Deep Neural Networks , 2014, IEEE Signal Processing Letters.
[13] Mohamed-Slim Alouini,et al. Instantly decodable network coding for real-time device-to-device communications , 2016, EURASIP J. Adv. Signal Process..
[14] Pasi Pertilä,et al. Distant speech separation using predicted time-frequency masks from spatial features , 2015, Speech Commun..
[15] Chin-Hui Lee,et al. A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge , 2017, 2017 Hands-free Speech Communications and Microphone Arrays (HSCMA).
[16] Geoffrey E. Hinton,et al. Reducing the Dimensionality of Data with Neural Networks , 2006, Science.
[17] Li-Rong Dai,et al. A Regression Approach to Speech Enhancement Based on Deep Neural Networks , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[18] T. Aaron Gulliver,et al. Speech-Model Based Accurate Blind Reverberation Time Estimation Using an LPC Filter , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[19] Robert B. Newman,et al. Collected Papers on Acoustics , 1927 .
[20] Henrique S. Malvar,et al. Speech dereverberation via maximum-kurtosis subband adaptive filtering , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[21] Thomas Quatieri,et al. Discrete-Time Speech Signal Processing: Principles and Practice , 2001 .
[22] Rodney A. Kennedy,et al. Spatial aliasing for near-field sensor arrays , 1999 .
[23] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[24] Jont B. Allen,et al. Invertibility of a room impulse response , 1979 .
[25] C. Gardiner. Handbook of Stochastic Methods , 1983 .
[26] Yi Hu,et al. Objective measures for predicting speech intelligibility in noisy conditions based on new band-importance functions. , 2009, The Journal of the Acoustical Society of America.
[27] Chin-Hui Lee,et al. A Reverberation-Time-Aware Approach to Speech Dereverberation Based on Deep Neural Networks , 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[28] Antoine Liutkus,et al. Robust ASR using neural network based speech enhancement and feature simulation , 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).
[29] DeLiang Wang,et al. Learning spectral mapping for speech dereverberation , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Georgios B. Giannakis,et al. Statistical Signal Processing, Higher Order Tools , 1999 .
[31] Chin-Hui Lee,et al. A deep neural network approach to speech bandwidth expansion , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[32] Michael S. Brandstein,et al. A microphone array system for speech source localization, denoising, and dereverberation , 2002 .
[33] Toon van Waterschoot,et al. Multi-Channel Linear Prediction-Based Speech Dereverberation With Sparse Priors , 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[34] Chin-Hui Lee,et al. DNN-based speech bandwidth expansion and its application to adding high-frequency missing features for automatic speech recognition of narrowband speech , 2015, INTERSPEECH.
[35] Fred J. Taylor,et al. Advanced Digital Signal Processing: Theory and Applications , 1993 .
[36] Ehud Weinstein,et al. Signal enhancement using beamforming and nonstationarity with applications to speech , 2001, IEEE Trans. Signal Process..
[37] Rodney A. Kennedy,et al. Equalization in an acoustic reverberant environment: robustness results , 2000, IEEE Trans. Speech Audio Process..
[38] Jae Lim,et al. Signal estimation from modified short-time Fourier transform , 1984 .
[39] R. Maas,et al. A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research , 2016, EURASIP Journal on Advances in Signal Processing.
[40] Alastair H. Moore,et al. The ACE challenge — Corpus description and performance evaluation , 2015, 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[41] Jesper Jensen,et al. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[42] Yoshua. Bengio,et al. Learning Deep Architectures for AI , 2007, Found. Trends Mach. Learn..
[43] Boaz Rafaely,et al. Spatial Aliasing in Spherical Microphone Arrays , 2007, IEEE Transactions on Signal Processing.
[44] Ronald E. Crochiere,et al. A study of complexity and quality of speech waveform coders , 1978, ICASSP.
[45] Takuya Yoshioka,et al. Blind Separation and Dereverberation of Speech Mixtures by Joint Optimization , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[46] Jacob Benesty,et al. On Spatial Aliasing in Microphone Arrays , 2009, IEEE Transactions on Signal Processing.
[47] Patrick A. Naylor,et al. Speech Dereverberation , 2010 .
[48] Peter Vary,et al. Dual-Channel Speech Enhancement by Superdirective Beamforming , 2006, EURASIP J. Adv. Signal Process..
[49] G. K.,et al. Learning Spectral Mapping for Speech Dereverberation and Denoising , 2017 .
[50] Jun Du,et al. A speech enhancement approach using piecewise linear approximation of an explicit model of environmental distortions , 2008, INTERSPEECH.