Publications

106 / 4,083 publications found.


  •  Tzinis, E., Wichern, G., Subramanian, A.S., Smaragdis, P., Le Roux, J., "Heterogeneous Target Speech Separation", Interspeech, DOI: 10.21437/​Interspeech.2022-10717, September 2022, pp. 1796-1800.
    BibTeX TR2022-115 PDF Video Presentation
    • @inproceedings{Tzinis2022sep,
    • author = {Tzinis, Efthymios and Wichern, Gordon and Subramanian, Aswin Shanmugam and Smaragdis, Paris and {Le Roux}, Jonathan},
    • title = {{Heterogeneous Target Speech Separation}},
    • booktitle = {Interspeech},
    • year = 2022,
    • pages = {1796--1800},
    • month = sep,
    • doi = {10.21437/Interspeech.2022-10717},
    • url = {https://www.merl.com/publications/TR2022-115}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chong, A., Chakrabarty, A., "Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization", Energy and Buildings, DOI: 10.1016/​j.enbuild.2022.112278, Vol. 270, pp. 112278, September 2022.
    BibTeX TR2022-072 PDF
    • @article{Zhan2023jan,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chong, Adrian and Chakrabarty, Ankush},
    • title = {{Calibrating building simulation models using multi-source datasets and meta-learned Bayesian optimization}},
    • journal = {Energy and Buildings},
    • year = 2022,
    • volume = 270,
    • pages = 112278,
    • month = sep,
    • doi = {10.1016/j.enbuild.2022.112278},
    • url = {https://www.merl.com/publications/TR2022-072}
    • }
  •  Venkatesh, S., Wichern, G., Subramanian, A.S., Le Roux, J., "Disentangled Surrogate Task Learning for Improved Domain Generalization in Unsupervised Anomolous Sound Detection," Tech. Rep. TR2022-092, Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2022, July 2022.
    BibTeX TR2022-092 PDF Presentation
    • @techreport{Venkatesh2022jul,
    • author = {Venkatesh, Satvik and Wichern, Gordon and Subramanian, Aswin Shanmugam and {Le Roux}, Jonathan},
    • title = {{Disentangled Surrogate Task Learning for Improved Domain Generalization in Unsupervised Anomolous Sound Detection}},
    • institution = {DCASE2022 Challenge},
    • year = 2022,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2022-092}
    • }
  •  Petermann, D., Wichern, G., Wang, Z.-Q., Le Roux, J., "The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9746005, April 2022, pp. 526-530.
    BibTeX TR2022-022 PDF Video Data Software
    • @inproceedings{Petermann2022apr,
    • author = {Petermann, Darius and Wichern, Gordon and Wang, Zhong-Qiu and {Le Roux}, Jonathan},
    • title = {{The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {526--530},
    • month = apr,
    • doi = {10.1109/ICASSP43922.2022.9746005},
    • url = {https://www.merl.com/publications/TR2022-022}
    • }
  •  Slizovskaia, O., Wichern, G., Wang, Z.-Q., Le Roux, J., "Locate This, Not That: Class-Conditioned Sound Event DOA Estimation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP43922.2022.9747604, April 2022, pp. 711-715.
    BibTeX TR2022-023 PDF
    • @inproceedings{Slizovskaia2022mar,
    • author = {Slizovskaia, Olga and Wichern, Gordon and Wang, Zhong-Qiu and {Le Roux}, Jonathan},
    • title = {{Locate This, Not That: Class-Conditioned Sound Event DOA Estimation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2022,
    • pages = {711--715},
    • month = apr,
    • doi = {10.1109/ICASSP43922.2022.9747604},
    • url = {https://www.merl.com/publications/TR2022-023}
    • }
  •  Zhan, S., Wichern, G., Laughman, C.R., Chakrabarty, A., "Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes", Advances in Neural Information Processing Systems (NeurIPS), December 2021.
    BibTeX TR2021-149 PDF
    • @inproceedings{Zhan2021dec,
    • author = {Zhan, Sicheng and Wichern, Gordon and Laughman, Christopher R. and Chakrabarty, Ankush},
    • title = {{Meta-Learned Bayesian Optimization for Building Model Calibration using Attentive Neural Processes}},
    • booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
    • year = 2021,
    • month = dec,
    • url = {https://www.merl.com/publications/TR2021-149}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2021.3129363, Vol. 29, pp. 3476-3490, December 2021.
    BibTeX TR2021-144 PDF
    • @article{Wang2021dec,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation}},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2021,
    • volume = 29,
    • pages = {3476--3490},
    • month = dec,
    • doi = {10.1109/TASLP.2021.3129363},
    • url = {https://www.merl.com/publications/TR2021-144}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "On The Compensation Between Magnitude and Phase in Speech Separation", IEEE Signal Processing Letters, DOI: 10.1109/​LSP.2021.3116502, Vol. 28, pp. 2018-2022, November 2021.
    BibTeX TR2021-137 PDF
    • @article{Wang2021nov2,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{On The Compensation Between Magnitude and Phase in Speech Separation}},
    • journal = {IEEE Signal Processing Letters},
    • year = 2021,
    • volume = 28,
    • pages = {2018--2022},
    • month = nov,
    • doi = {10.1109/LSP.2021.3116502},
    • url = {https://www.merl.com/publications/TR2021-137}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Reverberant Speech Separation", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632667, October 2021, pp. 56-60.
    BibTeX TR2021-127 PDF
    • @inproceedings{Wang2021oct4,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Convolutive Prediction for Reverberant Speech Separation}},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {56--60},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632667},
    • url = {https://www.merl.com/publications/TR2021-127}
    • }
  •  Wichern, G., Chakrabarty, A., Wang, Z.-Q., Le Roux, J., "Anomalous sound detection using attentive neural processes", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA52581.2021.9632762, October 2021, pp. 186-190.
    BibTeX TR2021-129 PDF
    • @inproceedings{Wichern2021oct,
    • author = {Wichern, Gordon and Chakrabarty, Ankush and Wang, Zhong-Qiu and {Le Roux}, Jonathan},
    • title = {{Anomalous sound detection using attentive neural processes}},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2021,
    • pages = {186--190},
    • month = oct,
    • publisher = {IEEE},
    • doi = {10.1109/WASPAA52581.2021.9632762},
    • url = {https://www.merl.com/publications/TR2021-129}
    • }
  •  Wang, Z.-Q., Wichern, G., Le Roux, J., "Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement", arXiv, October 2021.
    BibTeX arXiv
    • @article{Wang2021oct,
    • author = {Wang, Zhong-Qiu and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement}},
    • journal = {arXiv},
    • year = 2021,
    • month = oct,
    • url = {https://arxiv.org/abs/2110.00570}
    • }
  •  Chakrabarty, A., Wichern, G., Laughman, C.R., "ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins", International Conference on Machine Learning (ICML), July 2021.
    BibTeX TR2021-086 PDF
    • @inproceedings{Chakrabarty2021jul,
    • author = {Chakrabarty, Ankush and Wichern, Gordon and Laughman, Christopher R.},
    • title = {{ANP-BBO: Attentive Neural Processes and Batch Bayesian Optimization for Scalable Calibration of Physics-Informed Digital Twins}},
    • booktitle = {International Conference on Machine Learning (ICML)},
    • year = 2021,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2021-086}
    • }
  •  Hung, Y.-N., Wichern, G., Le Roux, J., "Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP39728.2021.9413358, June 2021, pp. 46-50.
    BibTeX TR2021-069 PDF
    • @inproceedings{Hung2021jun,
    • author = {Hung, Yun-Ning and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2021,
    • pages = {46--50},
    • month = jun,
    • doi = {10.1109/ICASSP39728.2021.9413358},
    • issn = {2379-190X},
    • isbn = {978-1-7281-7605-5},
    • url = {https://www.merl.com/publications/TR2021-069}
    • }
  •  Moritz, N., Wichern, G., Hori, T., Le Roux, J., "All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection", Interspeech, DOI: 10.21437/​Interspeech.2020-2757, October 2020, pp. 3112-3116.
    BibTeX TR2020-138 PDF Presentation
    • @inproceedings{Moritz2020oct,
    • author = {Moritz, Niko and Wichern, Gordon and Hori, Takaaki and {Le Roux}, Jonathan},
    • title = {{All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection}},
    • booktitle = {Interspeech},
    • year = 2020,
    • pages = {3112--3116},
    • month = oct,
    • doi = {10.21437/Interspeech.2020-2757},
    • issn = {1990-9772},
    • url = {https://www.merl.com/publications/TR2020-138}
    • }
  •  Manilow, E., Wichern, G., Le Roux, J., "Hierarchical Musical Instrument Separation", International Society for Music Information Retrieval (ISMIR) Conference, October 2020, pp. 376-383.
    BibTeX TR2020-136 PDF Software
    • @inproceedings{Manilow2020oct,
    • author = {Manilow, Ethan and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Hierarchical Musical Instrument Separation}},
    • booktitle = {International Society for Music Information Retrieval (ISMIR) Conference},
    • year = 2020,
    • pages = {376--383},
    • month = oct,
    • isbn = {978-0-9813537-0-8},
    • url = {https://www.merl.com/publications/TR2020-136}
    • }
  •  Seetharaman, P., Wichern, G., Pardo, B., Le Roux, J., "Autoclip: Adaptive Gradient Clipping For Source Separation Networks", IEEE International Workshop on Machine Learning for Signal Processing (MLSP), DOI: 10.1109/​MLSP49062.2020.9231926, September 2020.
    BibTeX TR2020-132 PDF
    • @inproceedings{Seetharaman2020sep,
    • author = {Seetharaman, Prem and Wichern, Gordon and Pardo, Bryan and {Le Roux}, Jonathan},
    • title = {{Autoclip: Adaptive Gradient Clipping For Source Separation Networks}},
    • booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP)},
    • year = 2020,
    • month = sep,
    • publisher = {IEEE},
    • doi = {10.1109/MLSP49062.2020.9231926},
    • url = {https://www.merl.com/publications/TR2020-132}
    • }
  •  Pishdadian, F., Wichern, G., Le Roux, J., "Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision", IEEE/ACM Transactions on Audio, Speech, and Language Processing, DOI: 10.1109/​TASLP.2020.3013105, Vol. 28, pp. 2386-2399, September 2020.
    BibTeX TR2020-126 PDF
    • @article{Pishdadian2020sep,
    • author = {Pishdadian, Fatemeh and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Finding Strength in Weakness: Learning to Separate Sounds with Weak Supervision}},
    • journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
    • year = 2020,
    • volume = 28,
    • pages = {2386--2399},
    • month = sep,
    • doi = {10.1109/TASLP.2020.3013105},
    • url = {https://www.merl.com/publications/TR2020-126}
    • }
  •  Seetharaman, P., Wichern, G., Le Roux, J., Pardo, B., "Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles", ICML 2020 Workshop on Self-supervision in Audio and Speech, July 2020.
    BibTeX TR2020-111 PDF
    • @inproceedings{Seetharaman2020jul,
    • author = {Seetharaman, Prem and Wichern, Gordon and {Le Roux}, Jonathan and Pardo, Bryan},
    • title = {{Bootstrapping Unsupervised Deep Music Separation from Primitive Auditory Grouping Principles}},
    • booktitle = {ICML 2020 Workshop on Self-supervision in Audio and Speech},
    • year = 2020,
    • month = jul,
    • url = {https://www.merl.com/publications/TR2020-111}
    • }
  •  Pishdadian, F., Wichern, G., Le Roux, J., "Learning to Separate Sounds From Weakly Labeled Scenes", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP40776.2020.9053055, April 2020, pp. 91-95.
    BibTeX TR2020-038 PDF Video Presentation
    • @inproceedings{Pishdadian2020apr,
    • author = {Pishdadian, Fatemeh and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Learning to Separate Sounds From Weakly Labeled Scenes}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2020,
    • pages = {91--95},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP40776.2020.9053055},
    • issn = {2379-190X},
    • isbn = {978-1-5090-6631-5},
    • url = {https://www.merl.com/publications/TR2020-038}
    • }
  •  Maciejewski, M., Wichern, G., McQuinn, E., Le Roux, J., "WHAMR!: Noisy and Reverberant Single-Channel Speech Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP40776.2020.9053327, April 2020, pp. 696-700.
    BibTeX TR2020-042 PDF Video Presentation
    • @inproceedings{Maciejewski2020apr,
    • author = {Maciejewski, Matthew and Wichern, Gordon and McQuinn, Emmett and {Le Roux}, Jonathan},
    • title = {{WHAMR!: Noisy and Reverberant Single-Channel Speech Separation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2020,
    • pages = {696--700},
    • month = apr,
    • publisher = {IEEE},
    • doi = {10.1109/ICASSP40776.2020.9053327},
    • issn = {2379-190X},
    • isbn = {978-1-5090-6631-5},
    • url = {https://www.merl.com/publications/TR2020-042}
    • }
  •  Aihara, R., Wichern, G., Le Roux, J., "Deep clusteringによる シングルチャネル音声分離とその発展", The Journal of the Acoustical Society of Japan, DOI: 10.20697/​jasj.76.2_101, Vol. 76, No. 2, pp. 101-108, April 2020.
    BibTeX J-STAGE
    • @article{Aihara2020apr,
    • author = {Aihara, Ryo and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Deep clusteringによる シングルチャネル音声分離とその発展}},
    • journal = {The Journal of the Acoustical Society of Japan},
    • year = 2020,
    • volume = 76,
    • number = 2,
    • pages = {101--108},
    • month = apr,
    • doi = {10.20697/jasj.76.2_101},
    • url = {https://www.jstage.jst.go.jp/article/jasj/76/2/76_101/_article/-char/en}
    • }
  •  Aihara, R., Wichern, G., Le Roux, J., "Deep Clustering-based Single Channel Speech Separation and Recent Advances", Acoustical Science and Technology, DOI: 10.1250/​ast.41.465, Vol. 41, No. 2, pp. 465-471, March 2020.
    BibTeX TR2021-020 PDF
    • @article{Aihara2020jun,
    • author = {Aihara, Ryo and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Deep Clustering-based Single Channel Speech Separation and Recent Advances}},
    • journal = {Acoustical Science and Technology},
    • year = 2020,
    • volume = 41,
    • number = 2,
    • pages = {465--471},
    • month = mar,
    • doi = {10.1250/ast.41.465},
    • url = {https://www.merl.com/publications/TR2021-020}
    • }
  •  Manilow, E., Wichern, G., Seetharaman, P., Le Roux, J., "Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), DOI: 10.1109/​WASPAA.2019.8937170, October 2019, pp. 45-49.
    BibTeX TR2019-124 PDF Data
    • @inproceedings{Manilow2019oct,
    • author = {Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and {Le Roux}, Jonathan},
    • title = {{Cutting Music Source Separation Some Slakh: A Dataset to Study the Impact of Training Data Quality and Quantity}},
    • booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
    • year = 2019,
    • pages = {45--49},
    • month = oct,
    • doi = {10.1109/WASPAA.2019.8937170},
    • issn = {1947-1629},
    • isbn = {978-1-7281-1123-0},
    • url = {https://www.merl.com/publications/TR2019-124}
    • }
  •  Wichern, G., McQuinn, E., Antognini, J., Flynn, M., Zhu, R., Crow, D., Manilow, E., Le Roux, J., "WHAM!: Extending Speech Separation to Noisy Environments", Interspeech, DOI: 10.21437/​Interspeech.2019-2821, September 2019, pp. 1368-1372.
    BibTeX TR2019-099 PDF
    • @inproceedings{Wichern2019sep,
    • author = {Wichern, Gordon and McQuinn, Emmett and Antognini, Joe and Flynn, Michael and Zhu, Richard and Crow, Dwight and Manilow, Ethan and {Le Roux}, Jonathan},
    • title = {{WHAM!: Extending Speech Separation to Noisy Environments}},
    • booktitle = {Interspeech},
    • year = 2019,
    • pages = {1368--1372},
    • month = sep,
    • doi = {10.21437/Interspeech.2019-2821},
    • url = {https://www.merl.com/publications/TR2019-099}
    • }
  •  Aihara, R., Hanazawa, T., Okato, Y., Wichern, G., Le Roux, J., "Teacher-Student Deep Clustering For Low-Delay Channel Speech Separation", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP.2019.8682695, May 2019.
    BibTeX TR2019-003 PDF
    • @inproceedings{Aihara2019may,
    • author = {Aihara, Ryo and Hanazawa, Toshiyuki and Okato, Yohei and Wichern, Gordon and {Le Roux}, Jonathan},
    • title = {{Teacher-Student Deep Clustering For Low-Delay Channel Speech Separation}},
    • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
    • year = 2019,
    • month = may,
    • doi = {10.1109/ICASSP.2019.8682695},
    • url = {https://www.merl.com/publications/TR2019-003}
    • }