DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement

B. C. Moore and B. R. Glasberg, “A comparison of four methods of implementing automatic gain control ( agc) in hearing aids,” British Journal of Audiology , vol. 22, no. 2, pp. 93–104, 1988

1988

Earlier work this paper cites.

T. F. Quatieri, Discrete-time speech signal processing: principles and practice . Pearson Education India, 2002

2002

Earlier work this paper cites.

Y. Suzuki and H. Takeshima, “Equal-loudness-level contours for pure tones,” The Journal of the Acoustical Society of America , vol. 116, no. 2, pp. 918–933, 2004

2004

Earlier work this paper cites.

Y. A. Huang and J. Benesty, “A multi-frame approach to the frequency-domain single-channel noise reduction problem,” IEEE Transactions on Audio, Speech, and Language Processing , vol. 20, no. 4, pp. 1256–1269, 2011

2011

Earlier work this paper cites.

J.-M. Valin, “A hybrid DSP/deep learning approach to real-time full-band speech enhancement,” in 2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) . IEEE, 2018, pp. 1–5

2018

Cited alongside, same era.

J.-M. Valin, U. Isik, N. Phansalkar, R. Giri, K. Helwani, and A. Krishnaswamy, “A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech,” in INTERSPEECH 2020 , 2020

2020

Cited alongside, same era.

H. Schröter, T. Rosenkranz, A. Escalante Banuelos, M. Aubreville, and A. Maier, “CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2020. [Online]. Available: https://rikorose.github.io/CLCNet-audio-samples.github.io/

2020

Cited alongside, same era.

W. Mack and E. A. Habets, “Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters,” IEEE Signal Processing Letters , vol. 27, pp. 61–65, 2020

2020

Cited alongside, same era.

H. Schröter, A. N. Escalante-B, T. Rosenkranz, and A. Maier, “Deepfilternet: A low complexity speech enhancement framework for full-band audio based on deep filtering,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022, pp. 7407–7411

2022

Later among the works it cites.

H. Schröter, A. Escalante-B, T. Rosenkranz, and A. Maier, “Deepfilternet2: Towards real-time speech enhancement on embedded devices for full-band audio,” in 2022 International Workshop on Acoustic Signal Enhancement (IWAENC) . IEEE, 2022, pp. 1–5

2022

Later among the works it cites.

H. Dubey, V. Gopal, R. Cutler, A. Aazami, S. Matusevych, S. Braun, S. E. Eskimez, M. Thakker, T. Yoshioka, H. Gamper et al. , “Icassp 2022 deep noise suppression challenge,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022, pp. 9271–9275

2022

Later among the works it cites.