Supervised and Unsupervised Speech Enhancement Using Nonnegative Matrix Factorization
暂无分享,去创建一个
Paris Smaragdis | Arne Leijon | Nasser Mohammadiha | P. Smaragdis | N. Mohammadiha | A. Leijon | Paris Smaragdis
[1] Rémi Gribonval,et al. Performance measurement in blind audio source separation , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[2] Tuomas Virtanen,et al. Monaural Sound Source Separation by Nonnegative Matrix Factorization With Temporal Continuity and Sparseness Criteria , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[3] W. Bastiaan Kleijn,et al. Codebook driven short-term predictor parameter estimation for speech enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[4] Bhiksha Raj,et al. A Probabilistic Latent Variable Model for Acoustic Modeling , 2006 .
[5] Thippur V. Sreenivas,et al. Codebook constrained Wiener filtering for speech enhancement , 1996, IEEE Trans. Speech Audio Process..
[6] Paris Smaragdis,et al. Convolutive Speech Bases and Their Application to Supervised Speech Separation , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[7] W. Bastiaan Kleijn,et al. HMM-Based Gain Modeling for Enhancement of Speech in Noise , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[8] Bin Chen,et al. A Laplacian-based MMSE estimator for speech enhancement , 2007, Speech Commun..
[9] Andrzej Cichocki,et al. Nonnegative Matrix and Tensor Factorization T , 2007 .
[10] H. Sebastian Seung,et al. Algorithms for Non-negative Matrix Factorization , 2000, NIPS.
[11] Herman J. M. Steeneken,et al. Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems , 1993, Speech Commun..
[12] Paris Smaragdis,et al. Prediction based filtering and smoothing to exploit temporal dependencies in NMF , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[13] A.V. Oppenheim,et al. Enhancement and bandwidth compression of noisy speech , 1979, Proceedings of the IEEE.
[14] Jesper Jensen,et al. MMSE based noise PSD tracking with low complexity , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[16] Hadi Veisi,et al. Speech enhancement using hidden Markov models in Mel-frequency domain , 2013, Speech Commun..
[17] Francis Bach,et al. Online algorithms for nonnegative matrix factorization with the Itakura-Saito divergence , 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[18] Israel Cohen,et al. Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging , 2003, IEEE Trans. Speech Audio Process..
[19] Jacob Benesty,et al. Enhancement of Single-Channel Periodic Signals in the Time-Domain , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[20] Philipos C. Loizou,et al. Speech Enhancement: Theory and Practice , 2007 .
[21] Bhiksha Raj,et al. Phoneme-Dependent NMF for Speech Enhancement in Monaural Mixtures , 2011, INTERSPEECH.
[22] Carla Teixeira Lopes,et al. TIMIT Acoustic-Phonetic Continuous Speech Corpus , 2012 .
[23] Arne Leijon,et al. A new approach for speech enhancement based on a constrained Nonnegative Matrix Factorization , 2011, 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS).
[24] David Malah,et al. Tracking speech-presence uncertainty to improve speech enhancement in non-stationary noise environments , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[25] Arne Leijon,et al. Nonnegative HMM for Babble Noise Derived From Speech HMM: Application to Speech Enhancement , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[26] Rainer Martin,et al. Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..
[27] Arne Leijon,et al. MODEL ORDER SELECTION FOR NON-NEGATIVE MATRIX FACTORIZATIONWITH APPLICATION TO SPEECH ENHANCEMENT , 2011 .
[28] Jesper Jensen,et al. Minimum Mean-Square Error Estimation of Discrete Fourier Coefficients With Generalized Gamma Priors , 2007, IEEE Transactions on Audio, Speech, and Language Processing.
[29] Israel Cohen,et al. Speech spectral modeling and enhancement based on autoregressive conditional heteroscedasticity models , 2006, Signal Process..
[30] Arne Leijon,et al. A new linear MMSE filter for single channel speech enhancement based on Nonnegative Matrix Factorization , 2011, 2011 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).
[31] Nancy Bertin,et al. Nonnegative Matrix Factorization with the Itakura-Saito Divergence: With Application to Music Analysis , 2009, Neural Computation.
[32] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[33] S. Boll,et al. Suppression of acoustic noise in speech using spectral subtraction , 1979 .
[34] Arne Leijon,et al. Single channel speech enhancement using Bayesian NMF with recursive temporal updates of prior distributions , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[35] Paris Smaragdis,et al. A non-negative approach to semi-supervised separation of speech from noise with the use of temporal dynamics , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[36] Jeff A. Bilmes,et al. A gentle tutorial of the em algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models , 1998 .
[37] Bhiksha Raj,et al. Regularized non-negative matrix factorization with temporal dependencies for speech denoising , 2008, INTERSPEECH.
[38] Peter Kabal,et al. Frame level noise classification in mobile environments , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[39] W. Bastiaan Kleijn,et al. On causal algorithms for speech enhancement , 2006, IEEE Transactions on Audio, Speech, and Language Processing.
[40] Rainer Martin,et al. Spectral Domain Speech Enhancement Using HMM State-Dependent Super-Gaussian Priors , 2013, IEEE Signal Processing Letters.
[41] J. Larsen,et al. Reduction of non-stationary noise using a non-negative latent variable decomposition , 2008, 2008 IEEE Workshop on Machine Learning for Signal Processing.
[42] Ali Taylan Cemgil,et al. Bayesian Inference for Nonnegative Matrix Factorisation Models , 2009, Comput. Intell. Neurosci..
[43] SapiroGuillermo,et al. Online Learning for Matrix Factorization and Sparse Coding , 2010 .
[44] Yariv Ephraim,et al. Recent Advancements in Speech Enhancement , 2004 .
[45] Hamid Sheikhzadeh,et al. HMM-based strategies for enhancement of speech signals embedded in nonstationary noise , 1998, IEEE Trans. Speech Audio Process..
[46] Ephraim. Speech enhancement using a minimum mean square error short-time spectral amplitude estimator , 1984 .
[47] Yariv Ephraim,et al. A Bayesian estimation approach for speech enhancement using hidden Markov models , 1992, IEEE Trans. Signal Process..
[48] Rainer Martin,et al. Speech enhancement based on minimum mean-square error estimation and supergaussian priors , 2005, IEEE Transactions on Speech and Audio Processing.
[49] Richard M. Stern,et al. Robust signal-to-noise ratio estimation based on waveform amplitude distribution analysis , 2008, INTERSPEECH.
[50] Patrik O. Hoyer,et al. Non-negative Matrix Factorization with Sparseness Constraints , 2004, J. Mach. Learn. Res..