A Deep Learning Approach to Active Noise Control
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[1] Jesper Jensen,et al. An Algorithm for Intelligibility Prediction of Time–Frequency Weighted Noisy Speech , 2011, IEEE Transactions on Audio, Speech, and Language Processing.
[2] Jordan Cheer,et al. Active control of the acoustic environment in an automobile cabin , 2012 .
[3] Ganapati Panda,et al. Advances in active noise control: A survey, with emphasis on recent nonlinear techniques , 2013, Signal Process..
[4] John W. Parkins,et al. GLOBAL ACTIVE NOISE CONTROL IN RECTANGULAR ENCLOSURES , 2012 .
[5] Finn T. Agerkvist,et al. Modelling Loudspeaker Non-Linearities , 2007 .
[6] Yu Tsao,et al. Complex spectrogram enhancement by convolutional neural network with multi-metrics learning , 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).
[7] DeLiang Wang,et al. Complex ratio masking for joint enhancement of magnitude and phase , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[8] Li Zhao,et al. Efficient Sequence Learning with Group Recurrent Networks , 2018, NAACL.
[9] Li Tan,et al. Adaptive Volterra filters for active control of nonlinear noise processes , 2001, IEEE Trans. Signal Process..
[10] Andries P. Hekstra,et al. Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[11] Jun Yang,et al. Frequency-Domain Filtered-x LMS Algorithms for Active Noise Control: A Review and New Insights , 2018, Applied Sciences.
[12] Jont B. Allen,et al. Image method for efficiently simulating small‐room acoustics , 1976 .
[13] Prasanga N. Samarasinghe,et al. Recent Advances in Active Noise Control Inside Automobile Cabins: Toward quieter cars , 2016, IEEE Signal Processing Magazine.
[14] Mohammad Hamiruce Marhaban,et al. Nonlinear Thf‐Fxlms Algorithm For Active Noise Control With Loudspeaker Nonlinearity , 2016 .
[15] Weisheng Chen,et al. Nonlinear adaptive learning control for unknown time‐varying parameters and unknown time‐varying delays , 2011 .
[16] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.
[17] DeLiang Wang,et al. Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement , 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.
[18] 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..
[19] Stephen J. Elliott,et al. A multiple error LMS algorithm and its application to the active control of sound and vibration , 1987, IEEE Trans. Acoust. Speech Signal Process..
[20] Riyanto T. Bambang. Adjoint EKF learning in recurrent neural networks for nonlinear active noise control , 2008, Appl. Soft Comput..
[21] José Carlos M. Bermudez,et al. Stochastic analysis of the filtered-X LMS algorithm in systems with nonlinear secondary paths , 2002, IEEE Trans. Signal Process..
[22] G. Panda,et al. Functional Link Artificial Neural Network for Active Control of Nonlinear Noise Processes , 2003 .
[23] DeLiang Wang,et al. Deep Learning for Joint Acoustic Echo and Noise Cancellation with Nonlinear Distortions , 2019, INTERSPEECH.
[24] Jian-Xin Xu,et al. Discrete-time adaptive control for nonlinear systems with periodic parameters: A lifting approach , 2009, 2009 7th Asian Control Conference.
[25] Raja Kamil,et al. Comparison of Performance and Computational Complexity of Nonlinear Active Noise Control Algorithms , 2011 .
[26] Tomasz Krukowicz,et al. Active Noise Control Algorithm Based on a Neural Network and Nonlinear Input-Output System Identification Model , 2010 .
[27] Sen M. Kuo,et al. Active noise control: a tutorial review , 1999, Proc. IEEE.
[28] Fu-Kun Chen,et al. Saturation effects in active noise control systems , 2004, IEEE Transactions on Circuits and Systems I: Regular Papers.
[29] DeLiang Wang,et al. Large-scale training to increase speech intelligibility for hearing-impaired listeners in novel noises. , 2016, The Journal of the Acoustical Society of America.
[30] Scott D. Snyder,et al. Active control of vibration using a neural network , 1995, IEEE Trans. Neural Networks.
[31] Khosrow Lashkari. A Novel Volterra-Wiener Model for Equalization of Loudspeaker Distortions , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.
[32] W. Gan,et al. Adaptive recurrent fuzzy neural networks for active noise control , 2006 .
[33] Graham C. Goodwin,et al. Analysis and design of networked control systems using the additive noise model methodology , 2010 .
[34] Sanjiv Kumar,et al. On the Convergence of Adam and Beyond , 2018 .
[35] M. O. Tokhi,et al. Active noise control using radial basis function networks , 1997 .