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
- TALK 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
  Brief
  - 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.
- NEWS MERL presenting 13 papers and an industry talk at ICASSP 2020
  Date: May 4, 2020 - May 8, 2020
  Where: Virtual Barcelona
  MERL Contacts: Karl Berntorp; Petros T. Boufounos; Chiori Hori; Takaaki Hori; Toshiaki Koike-Akino; Jonathan Le Roux; Dehong Liu; Yanting Ma; Hassan Mansour; Philip V. Orlik; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern
  Research Areas: Computational Sensing, Computer Vision, Machine Learning, Signal Processing, Speech & Audio
  Brief
  - MERL researchers are presenting 13 papers at the IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), which is being held virtually from May 4-8, 2020. Petros Boufounos is also presenting a talk on the Computational Sensing Revolution in Array Processing (video) in ICASSP’s Industry Track, and Siheng Chen is co-organizing and chairing a special session on a Signal-Processing View of Graph Neural Networks.
    
    Topics to be presented include recent advances in speech recognition, audio processing, scene understanding, computational sensing, array processing, and parameter estimation. Videos for all talks are available on MERL's YouTube channel, with corresponding links in the references below.
    
    This year again, MERL is a sponsor of the conference and will be participating in the Student Job Fair; please join us to learn about our internship program and career opportunities.
    
    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. Originally planned to be held in Barcelona, Spain, ICASSP has moved to a fully virtual setting due to the COVID-19 crisis, with free registration for participants not covering a paper.
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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
- SA1689: Audio source separation and sound event detection
  
  We are seeking a graduate student 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 intern will collaborate with MERL researchers to derive and implement new models and optimization methods, conduct experiments, and prepare results for publication. The ideal candidate would be a senior Ph.D. student 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). The internship will take place during spring/summer 2022 with an expected duration of 3-6 months and a flexible start date. This internship is preferred to be onsite at MERL, but may be done remotely where you live if the COVID pandemic makes it necessary.
See All Internships at MERL
MERL Publications
- 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), October 2021.
  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,
  - month = oct,
  - url = {https://www.merl.com/publications/TR2021-129}
  - }
- 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), October 2021.
  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,
  - month = oct,
  - url = {https://www.merl.com/publications/TR2021-127}
  - }
- Wang, Z.-Q., Wichern, G., Le Roux, J., "Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement", arXiv, October 2021.
  BibTeX
  - @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
  - }
- Wang, Z.-Q., Wichern, G., Le Roux, J., "On The Compensation Between Magnitude and Phase in Speech Separation", arXiv, August 2021.
  BibTeX arXiv
  - @article{Wang2021aug3,
  - author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
  - title = {On The Compensation Between Magnitude and Phase in Speech Separation},
  - journal = {arXiv},
  - year = 2021,
  - month = aug,
  - url = {https://arxiv.org/abs/2108.05470}
  - }
- Wang, Z.-Q., Wichern, G., Le Roux, J., "Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation", arXiv, August 2021.
  BibTeX arXiv
  - @article{Wang2021aug,
  - author = {Wang, Zhong-Qiu and Wichern, Gordon and Le Roux, Jonathan},
  - title = {Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation},
  - journal = {arXiv},
  - year = 2021,
  - month = aug,
  - url = {https://arxiv.org/abs/2108.07376}
  - }
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}
  - }
- 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
  - }
- 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}
  - }
- 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, "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
  - }
- 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, "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}
  - }
- 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, 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
  - }
- 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, 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}
  - }
- 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}
  - }
Videos
- 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

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Gordon Wichern

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Biography

Recent News & Events

Awards

Research Highlights

Seamless Speech Recognition

Internships with Gordon

SA1689: Audio source separation and sound event detection

MERL Publications

Other Publications

Videos

MERL Issued Patents