People - Gordon Wichern | Mitsubishi Electric Research Laboratories

Biography

Gordon's research interests are at the intersection of signal processing and machine learning applied to speech, music, and environmental sounds. Prior to joining MERL, Gordon worked at iZotope inc. developing audio signal processing software, and at MIT Lincoln Laboratory where he worked in radar target tracking.
Recent News & Events
- NEWS MERL presenting 8 papers at ICASSP 2022
  Date: May 22, 2022 - May 27, 2022
  Where: Singapore
  MERL Contacts: Anoop Cherian; Chiori Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Tim K. Marks; Philip V. Orlik; Kuan-Chuan Peng; Pu (Perry) Wang; Gordon Wichern
  Research Areas: Artificial Intelligence, Computer Vision, Signal Processing, Speech & Audio
  Brief
  - MERL researchers are presenting 8 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held in Singapore from May 22-27, 2022. A week of virtual presentations also took place earlier this month.
    
    Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, and classification.
    
    ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 2000 participants each year.
- TALK [MERL Seminar Series 2021] Dr. Ruohan Gao presents talk at MERL entitled Look and Listen: From Semantic to Spatial Audio-Visual Perception
  Date & Time: Tuesday, September 28, 2021; 1:00 PM EST
  Speaker: Dr. Ruohan Gao, Stanford University
  MERL Host: Gordon Wichern
  Research Areas: Computer Vision, Machine Learning, Speech & Audio
  Abstract
  - While computer vision has made significant progress by "looking" — detecting objects, actions, or people based on their appearance — it often does not listen. Yet cognitive science tells us that perception develops by making use of all our senses without intensive supervision. Towards this goal, in this talk I will present my research on audio-visual learning — We disentangle object sounds from unlabeled video, use audio as an efficient preview for action recognition in untrimmed video, decode the monaural soundtrack into its binaural counterpart by injecting visual spatial information, and use echoes to interact with the environment for spatial image representation learning. Together, these are steps towards multimodal understanding of the visual world, where audio serves as both the semantic and spatial signals. In the end, I will also briefly talk about our latest work on multisensory learning for robotics.
See All News & Events for Gordon
Awards
- AWARD Best Poster Award and Best Video Award at the International Society for Music Information Retrieval Conference (ISMIR) 2020
  Date: October 15, 2020
  Awarded to: Ethan Manilow, Gordon Wichern, Jonathan Le Roux
  MERL Contacts: Jonathan Le Roux; Gordon Wichern
  Research Areas: Artificial Intelligence, Machine Learning, Speech & Audio
  Brief
  - Former MERL intern Ethan Manilow and MERL researchers Gordon Wichern and Jonathan Le Roux won Best Poster Award and Best Video Award at the 2020 International Society for Music Information Retrieval Conference (ISMIR 2020) for the paper "Hierarchical Musical Source Separation". The conference was held October 11-14 in a virtual format. The Best Poster Awards and Best Video Awards were awarded by popular vote among the conference attendees.
    
    The paper proposes a new method for isolating individual sounds in an audio mixture that accounts for the hierarchical relationship between sound sources. Many sounds we are interested in analyzing are hierarchical in nature, e.g., during a music performance, a hi-hat note is one of many such hi-hat notes, which is one of several parts of a drumkit, itself one of many instruments in a band, which might be playing in a bar with other sounds occurring. Inspired by this, the paper re-frames the audio source separation problem as hierarchical, combining similar sounds together at certain levels while separating them at other levels, and shows on a musical instrument separation task that a hierarchical approach outperforms non-hierarchical models while also requiring less training data. The paper, poster, and video can be seen on the paper page on the ISMIR website.
See All Awards for MERL
Research Highlights
- Seamless Speech Recognition
Internships with Gordon
- SA1874: Audio source separation and sound event detection
  
  We are seeking graduate students interested in helping advance the fields of source separation, speech enhancement, robust ASR, and sound event detection/localization in challenging multi-source and far-field scenarios. The interns will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidates are senior Ph.D. students with experience in some of the following: audio signal processing, microphone array processing, probabilistic modeling, sequence to sequence models, and deep learning techniques, in particular those involving minimal supervision (e.g., unsupervised, weakly-supervised, self-supervised, or few-shot learning). Multiple positions are available throughout 2023 (Spring/Summer of course, but also as early as January), with expected durations of 3-6 months and flexible start dates.
See All Internships at MERL
MERL Publications
- 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
  - @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
  - @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}
  - }
- Wang, Z.-Q., Wichern, G., Watanabe, S., Le Roux, J., "STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency", arXiv, April 2022.
  BibTeX arXiv
  - @article{Wang2022mar,
  - author = {Wang, Zhong-Qiu and Wichern, Gordon and Watanabe, Shinji and Le Roux, Jonathan},
  - title = {STFT-Domain Neural Speech Enhancement with Very Low Algorithmic Latency},
  - journal = {arXiv},
  - year = 2022,
  - month = apr,
  - url = {https://arxiv.org/abs/2204.09911}
  - }
See All Publications for Gordon
Other Publications
- G. Wichern and A. Lukin, "Low-Latency approximation of bidirectional recurrent networks for speech denoising", 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), Oct 2017, pp. 66-70.
  BibTeX
  - @Inproceedings{8169996,
  - author = {Wichern, G. and Lukin, A.},
  - title = {Low-Latency approximation of bidirectional recurrent networks for speech denoising},
  - booktitle = {2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
  - year = 2017,
  - pages = {66--70},
  - month = {Oct}
  - }
- G. Wichern, H. Robertson and A. Wishnick, "Quantitative Analysis of Masking in Multitrack Mixes Using Loudness Loss", Sep 2016, Audio Engineering Society Convention 141.
  BibTeX External
  - @Conference{wichern2016quantitative,
  - author = {Wichern, G. and Robertson, H. and Wishnick, A.},
  - title = {Quantitative Analysis of Masking in Multitrack Mixes Using Loudness Loss},
  - booktitle = {Audio Engineering Society Convention 141},
  - year = 2016,
  - month = {Sep},
  - url = {http://www.aes.org/e-lib/browse.cfm?elib=18450}
  - }
- G. Wichern, A. Wishnick, A. Lukin and H. Robertson, "Comparison of Loudness Features for Automatic Level Adjustment in Mixing", Oct 2015, Audio Engineering Society Convention 139.
  BibTeX External
  - @Conference{wichern2015comparison,
  - author = {Wichern, G. and Wishnick, A. and Lukin, A. and Robertson, H.},
  - title = {Comparison of Loudness Features for Automatic Level Adjustment in Mixing},
  - booktitle = {Audio Engineering Society Convention 139},
  - year = 2015,
  - month = {Oct},
  - url = {http://www.aes.org/e-lib/browse.cfm?elib=17928}
  - }
- M. Yamada, G. Wichern, K. Kondo, M. Sugiyama and H. Sawada, "Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis", Digital Signal Processing, Vol. 23, No. 1, pp. 1-8, 2013.
  BibTeX
  - @Article{yamada2013noise,
  - author = {Yamada, M. and Wichern, G. and Kondo, K. and Sugiyama, M. and Sawada, H.},
  - title = {Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis},
  - journal = {Digital Signal Processing},
  - year = 2013,
  - volume = 23,
  - number = 1,
  - pages = {1--8},
  - publisher = {Academic Press}
  - }
- M. Yamada, M. Sugiyama, G. Wichern and J. Simm, "Improving the accuracy of least-squares probabilistic classifiers", IEICE transactions on information and systems, Vol. 94, No. 6, pp. 1337-1340, 2011.
  BibTeX
  - @Article{yamada2011improving,
  - author = {Yamada, M. and Sugiyama, M. and Wichern, G. and Simm, J.},
  - title = {Improving the accuracy of least-squares probabilistic classifiers},
  - journal = {IEICE transactions on information and systems},
  - year = 2011,
  - volume = 94,
  - number = 6,
  - pages = {1337--1340},
  - publisher = {The Institute of Electronics, Information and Communication Engineers}
  - }
- M. Shah, G. Wichern, A. Spanias and H. Thornburg, "Audio content-based feature extraction algorithms using J-DSP for arts, media and engineering courses", 2010 IEEE Frontiers in Education Conference (FIE), Oct 2010, pp. T1F-1-T1F-6.
  BibTeX
  - @Inproceedings{5673157,
  - author = {Shah, M. and Wichern, G. and Spanias, A. and Thornburg, H.},
  - title = {Audio content-based feature extraction algorithms using J-DSP for arts, media and engineering courses},
  - booktitle = {2010 IEEE Frontiers in Education Conference (FIE)},
  - year = 2010,
  - pages = {T1F--1--T1F--6},
  - month = {Oct}
  - }
- G. Wichern, J. Xue, H. Thornburg, B. Mechtley and A. Spanias, "Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds", IEEE Transactions on Audio, Speech, and Language Processing, Vol. 18, No. 3, pp. 688-707, March 2010.
  BibTeX
  - @Article{5410056,
  - author = {Wichern, G. and Xue, J. and Thornburg, H. and Mechtley, B. and Spanias, A.},
  - title = {Segmentation, Indexing, and Retrieval for Environmental and Natural Sounds},
  - journal = {IEEE Transactions on Audio, Speech, and Language Processing},
  - year = 2010,
  - volume = 18,
  - number = 3,
  - pages = {688--707},
  - month = mar
  - }
- M. Yamada, M. Sugiyama and G. Wichern, "Direct importance estimation with probabilistic principal component analyzers", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010, pp. 1962-1965.
  BibTeX
  - @Inproceedings{5495290,
  - author = {Yamada, M. and Sugiyama, M. and Wichern, G.},
  - title = {Direct importance estimation with probabilistic principal component analyzers},
  - booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2010,
  - pages = {1962--1965},
  - month = mar
  - }
- M. Yamada, M. Sugiyama, G. Wichern and T. Matsui, "Acceleration of sequence kernel computation for real-time speaker identification", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010, pp. 1626-1629.
  BibTeX
  - @Inproceedings{5495542,
  - author = {Yamada, M. and Sugiyama, M. and Wichern, G. and Matsui, T.},
  - title = {Acceleration of sequence kernel computation for real-time speaker identification},
  - booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2010,
  - pages = {1626--1629},
  - month = mar
  - }
- G. Wichern, M. Yamada, H. Thornburg, M. Sugiyama and A. Spanias, "Automatic audio tagging using covariate shift adaptation", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010, pp. 253-256.
  BibTeX
  - @Inproceedings{5495973,
  - author = {Wichern, G. and Yamada, M. and Thornburg, H. and Sugiyama, M. and Spanias, A.},
  - title = {Automatic audio tagging using covariate shift adaptation},
  - booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2010,
  - pages = {253--256},
  - month = mar
  - }
- B. Mechtley, G. Wichern, H. Thornburg and A. Spanias, "Combining semantic, social, and acoustic similarity for retrieval of environmental sounds", 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2010, pp. 2402-2405.
  BibTeX
  - @Inproceedings{5496225,
  - author = {Mechtley, B. and Wichern, G. and Thornburg, H. and Spanias, A.},
  - title = {Combining semantic, social, and acoustic similarity for retrieval of environmental sounds},
  - booktitle = {2010 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2010,
  - pages = {2402--2405},
  - month = mar
  - }
- A. Fink, B. Mechtley, G. Wichern, J. Liu, H. Thornburg, A. Spanias and G. Coleman, "Re-Sonification of Geographic Sound Activity using Acoustic, Semantic and Social Information", Proceedings of the 16th International Conference on Auditory Display (ICAD2010), 2010.
  BibTeX
  - @Inproceedings{fink2010re,
  - author = {Fink, A. and Mechtley, B. and Wichern, G. and Liu, J. and Thornburg, H. and Spanias, A. and Coleman, G.},
  - title = {Re-Sonification of Geographic Sound Activity using Acoustic, Semantic and Social Information},
  - booktitle = {Proceedings of the 16th International Conference on Auditory Display (ICAD2010)},
  - year = 2010,
  - organization = {Georgia Institute of Technology}
  - }
- G. Wichern, B. Mechtley, A. Fink, H. Thornburg and A. Spanias, "An ontological framework for retrieving environmental sounds using semantics and acoustic content", EURASIP Journal on Audio, Speech, and Music Processing, Vol. 2010, No. 1, pp. 192363, 2010.
  BibTeX
  - @Article{wichern2010ontological,
  - author = {Wichern, G. and Mechtley, B. and Fink, A. and Thornburg, H. and Spanias, A.},
  - title = {An ontological framework for retrieving environmental sounds using semantics and acoustic content},
  - journal = {EURASIP Journal on Audio, Speech, and Music Processing},
  - year = 2010,
  - volume = 2010,
  - number = 1,
  - pages = 192363,
  - publisher = {Springer International Publishing}
  - }
- M. Yamada, M. Sugiyama, G. Wichern and J. Simm, "Direct importance estimation with a mixture of probabilistic principal component analyzers", IEICE Transactions on Information and Systems, Vol. 93, No. 10, pp. 2846-2849, 2010.
  BibTeX
  - @Article{yamada2010direct,
  - author = {Yamada, M. and Sugiyama, M. and Wichern, G. and Simm, J.},
  - title = {Direct importance estimation with a mixture of probabilistic principal component analyzers},
  - journal = {IEICE Transactions on Information and Systems},
  - year = 2010,
  - volume = 93,
  - number = 10,
  - pages = {2846--2849},
  - publisher = {The Institute of Electronics, Information and Communication Engineers}
  - }
- G. Wichern, H. Thornburg and A. Spanias, "Unifying semantic and content-based approaches for retrieval of environmental sounds", 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2009, pp. 13-16.
  BibTeX
  - @Inproceedings{5346493,
  - author = {Wichern, G. and Thornburg, H. and Spanias, A.},
  - title = {Unifying semantic and content-based approaches for retrieval of environmental sounds},
  - booktitle = {2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics},
  - year = 2009,
  - pages = {13--16},
  - month = {Oct}
  - }
- G. Wichern, H. Kwon, A. Spanias, A. Fink and H. Thornburg, "Continuous observation and archival of acoustic scenes using wireless sensor networks", 2009 16th International Conference on Digital Signal Processing, July 2009, pp. 1-6.
  BibTeX
  - @Inproceedings{5201082,
  - author = {Wichern, G. and Kwon, H. and Spanias, A. and Fink, A. and Thornburg, H.},
  - title = {Continuous observation and archival of acoustic scenes using wireless sensor networks},
  - booktitle = {2009 16th International Conference on Digital Signal Processing},
  - year = 2009,
  - pages = {1--6},
  - month = jul
  - }
- G. Wichern, H. Thornburg and A. Spanias, "Multi-channel audio segmentation for continuous observation and archival of large spaces", 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, April 2009, pp. 237-240.
  BibTeX
  - @Inproceedings{4959564,
  - author = {Wichern, G. and Thornburg, H. and Spanias, A.},
  - title = {Multi-channel audio segmentation for continuous observation and archival of large spaces},
  - booktitle = {2009 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2009,
  - pages = {237--240},
  - month = apr
  - }
- J. Xue, G. Wichern, H. Thornburg and A. Spanias, "Fast query by example of environmental sounds via robust and efficient cluster-based indexing", 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, March 2008, pp. 5-8.
  BibTeX
  - @Inproceedings{4517532,
  - author = {Xue, J. and Wichern, G. and Thornburg, H. and Spanias, A.},
  - title = {Fast query by example of environmental sounds via robust and efficient cluster-based indexing},
  - booktitle = {2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  - year = 2008,
  - pages = {5--8},
  - month = mar
  - }
- G. Wichern, J. Xue, H. Thornburg and A. Spanias, "Distortion-Aware Query-by-Example for Environmental Sounds", 2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, Oct 2007, pp. 335-338.
  BibTeX
  - @Inproceedings{4393051,
  - author = {Wichern, G. and Xue, J. and Thornburg, H. and Spanias, A.},
  - title = {Distortion-Aware Query-by-Example for Environmental Sounds},
  - booktitle = {2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics},
  - year = 2007,
  - pages = {335--338},
  - month = {Oct}
  - }
- M. McCarron, M. R. Azimi-Sadjadi, G. Wichem and M. Mungiole, "An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction", 2007 International Joint Conference on Neural Networks, Aug 2007, pp. 2262-2267.
  BibTeX
  - @Inproceedings{4371310,
  - author = {McCarron, M. and Azimi-Sadjadi, M. R. and Wichem, G. and Mungiole, M.},
  - title = {An Operationally Adaptive System for Rapid Acoustic Transmission Loss Prediction},
  - booktitle = {2007 International Joint Conference on Neural Networks},
  - year = 2007,
  - pages = {2262--2267},
  - month = {Aug}
  - }
- G. Wichern, H. Thornburg, B. Mechtley, A. Fink, K. Tu and A. Spanias, "Robust Multi-Features Segmentation and Indexing for Natural Sound Environments", 2007 International Workshop on Content-Based Multimedia Indexing, June 2007, pp. 69-76.
  BibTeX
  - @Inproceedings{4275057,
  - author = {Wichern, G. and Thornburg, H. and Mechtley, B. and Fink, A. and Tu, K. and Spanias, A.},
  - title = {Robust Multi-Features Segmentation and Indexing for Natural Sound Environments},
  - booktitle = {2007 International Workshop on Content-Based Multimedia Indexing},
  - year = 2007,
  - pages = {69--76},
  - month = jun
  - }
- G. Wichern, M. R. Azimi-Sadjadi and M. Mungiole, "Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres", Neural Networks, Vol. 20, No. 4, pp. 484 - 497, 2007.
  BibTeX External
  - @Article{WICHERN2007484,
  - author = {Wichern, G. and Azimi-Sadjadi, M. R. and Mungiole, M.},
  - title = {Environmentally adaptive acoustic transmission loss prediction in turbulent and nonturbulent atmospheres},
  - journal = {Neural Networks},
  - year = 2007,
  - volume = 20,
  - number = 4,
  - pages = {484 -- 497},
  - note = {Computational Intelligence in Earth and Environmental Sciences},
  - url = {http://www.sciencedirect.com/science/article/pii/S089360800700055X}
  - }
- G. Wichern, M. R. Azimi-Sadjadi and M. Mungiole, "An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction", The 2006 IEEE International Joint Conference on Neural Network Proceedings, 2006, pp. 5118-5125.
  BibTeX
  - @Inproceedings{1716812,
  - author = {Wichern, G. and Azimi-Sadjadi, M. R. and Mungiole, M.},
  - title = {An Environmentally Adaptive System for Rapid Acoustic Transmission Loss Prediction},
  - booktitle = {The 2006 IEEE International Joint Conference on Neural Network Proceedings},
  - year = 2006,
  - pages = {5118--5125}
  - }
- MR Azimi-Sadjadi, Y Jiang and G Wichern, "Properties of randomly distributed sparse arrays", Proc. SPIE, 2006, vol. 6201.
  BibTeX
  - @Inproceedings{azimi2006properties,
  - author = {Azimi-Sadjadi, MR and Jiang, Y and Wichern, G},
  - title = {Properties of randomly distributed sparse arrays},
  - booktitle = {Proc. SPIE},
  - year = 2006,
  - volume = 6201
  - }
- MR Azimi-Sadjadi, A Pezeshki, LL Scharf and G Wichern, "Unattended sparse acoustic array configurations and beamforming algorithms", Proc. SPIE, 2005, vol. 5796, pp. 40-51.
  BibTeX
  - @Inproceedings{azimi2005unattended,
  - author = {Azimi-Sadjadi, MR and Pezeshki, A and Scharf, LL and Wichern, G},
  - title = {Unattended sparse acoustic array configurations and beamforming algorithms},
  - booktitle = {Proc. SPIE},
  - year = 2005,
  - volume = 5796,
  - pages = {40--51}
  - }
Software Downloads
- Hierarchical Musical Instrument Separation
Videos
- The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks
- Seamless Speech Recognition
MERL Issued Patents
- Title: "Methods and Systems for Enhancing Audio Signals Corrupted by Noise"
  Inventors: Le Roux, Jonathan; Watanabe, Shinji; Hershey, John R.; Wichern, Gordon P
  Patent No.: 10,726,856
  Issue Date: Jul 28, 2020
- Title: "Methods and Systems for End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction"
  Inventors: Le Roux, Jonathan; Hershey, John R.; Wang, Zhongqiu; Wichern, Gordon P
  Patent No.: 10,529,349
  Issue Date: Jan 7, 2020
See All Patents for MERL

Mitsubishi Electric | Changes for the Better MERL - Mitsubishi Electric Research Laboratories

Gordon Wichern

Position:

Education:

Research Areas:

External Links:

Gordon's Quick Links

Biography

Recent News & Events

Awards

Research Highlights

Seamless Speech Recognition

Internships with Gordon

SA1874: Audio source separation and sound event detection

MERL Publications

Other Publications

Software Downloads

Hierarchical Musical Instrument Separation

Videos

MERL Issued Patents

Seamless Speech Recognition

SA1874: Audio source separation and sound event detection

Hierarchical Musical Instrument Separation

The Cocktail Fork Problem: Three-Stem Audio Separation for Real-World Soundtracks

Seamless Speech Recognition