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We present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously.
Fasnet: Low-latency adaptive beamforming for multi-microphone audio processing
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Support vector machines versus fast scoring in the low-dimensional total variability space for speaker verification
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Multichannel eigenspace beamforming in a reverberant noisy environment with multiple interfering speech signals
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Logeshwari, G. and Mala, G. A · 2012
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The second ‘chime’speech separation and recognition challenge: Datasets, tasks and baselines
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Variani, E., Lei, X., McDermott, E., Moreno, I. L., and Gonzalez-Dominguez, J · 2014
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Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks
Erdogan, H., Hershey, J. R., Watanabe, S., and Le Roux, J · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
He, K., Zhang, X., Ren, S., and Sun, J · 2015
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Deep clustering: Discriminative embeddings for segmentation and separation
Hershey, J. R., Chen, Z., Le Roux, J., and Watanabe, S · 2016
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Single-channel multi-speaker separation using deep clustering
Isik, Y., Roux, J. L., Chen, Z., Watanabe, S., and Hershey, J. R · 2016
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A study of learning based beamforming methods for speech recognition
Xiao, X., Xu, C., Zhang, Z., Zhao, S., Sun, S., Watanabe, S., Wang, L., Xie, L., Jones, D. L., Chng, E. S., et al · 2016
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The 2018 signal separation evaluation campaign
Stöter, F.-R., Liutkus, A., and Ito, N · 2018
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Supervised speech separation based on deep learning: An overview
Wang, D. and Chen, J · 2018
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Alternative objective functions for deep clustering
Wang, Z.-Q., Le Roux, J., and Hershey, J. R · 2018
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Music source separation in the waveform domain
Défossez, A., Usunier, N., Bottou, L., and Bach, F · 2019
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Sdr–half-baked or well done?
Le Roux, J., Wisdom, S., Erdogan, H., and Hershey, J. R · 2019
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Divide and conquer: A deep casa approach to talker-independent monaural speaker separation
Liu, Y. and Wang, D · 2019
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Deep attractor network for single-microphone speaker separation
Chen, Z., Luo, Y., and Mesgarani, N · 2017
Cited alongside, same era.
Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks
Kolbæk, M., Yu, D., Tan, Z.-H., and Jensen, J · 2017
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Musdb18-a corpus for music separation
Rafii, Z., Liutkus, A., Stöter, F.-R., Mimilakis, S. I., and Bittner, R · 2017
Cited alongside, same era.
Permutation invariant training of deep models for speaker-independent multi-talker speech separation
Yu, D., Kolbæk, M., Tan, Z.-H., and Jensen, J · 2017
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Speaker-aware neural network based beamformer for speaker extraction in speech mixtures
Zmolikova, K., Delcroix, M., Kinoshita, K., Higuchi, T., Ogawa, A., and Nakatani, T · 2017
Cited alongside, same era.
Single channel target speaker extraction and recognition with speaker beam
Delcroix, M., Zmolikova, K., Kinoshita, K., Ogawa, A., and Nakatani, T · 2018
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Speech dereverberation using fully convolutional networks
Ernst, O., Chazan, S. E., Gannot, S., and Goldberger, J · 2018
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Later among the works it cites.
Conv-tasnet: Surpassing ideal time–frequency magnitude masking for speech separation
Luo, Y. and Mesgarani, N · 2019
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Open-unmix - a reference implementation for music source separation
St ”oter, F.-R., Uhlich, S., Liutkus, A., and Mitsufuji, Y · 2019
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Recursive speech separation for unknown number of speakers
Takahashi, N., Parthasaarathy, S., Goswami, N., and Mitsufuji, Y · 2019
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Deep learning based phase reconstruction for speaker separation: A trigonometric perspective
Wang, Z.-Q., Tan, K., and Wang, D · 2019
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Wham!: Extending speech separation to noisy environments
Wichern, G., Antognini, J., Flynn, M., Zhu, L. R., McQuinn, E., Crow, D., Manilow, E., and Roux, J. L · 2019
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Global and local simplex representations for multichannel source separation
Laufer-Goldshtein, B., Talmon, R., and Gannot, S · 2020
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Whamr!: Noisy and reverberant single-channel speech separation
Maciejewski, M., Wichern, G., McQuinn, E., and Le Roux, J · 2020
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Filterbank design for end-to-end speech separation
Pariente, M., Cornell, S., Deleforge, A., and Vincent, E · 2020
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Wavesplit: End-to-end speech separation by speaker clustering
Zeghidour, N. and Grangier, D · 2020
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Furcanext: End-to-end monaural speech separation with dynamic gated dilated temporal convolutional networks
Zhang, L., Shi, Z., Han, J., Shi, A., and Ma, D · 2020
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