Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Kevin W. Wilson"'
Publikováno v:
ICASSP
We present an end-to-end deep network model that performs meeting diarization from single-channel audio recordings. End-to-end diarization models have the advantage of handling speaker overlap and enabling straightforward handling of discriminative t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615b36526c772878d3560d71bb6cf9e7
Autor:
Ricardo A. Garcia, Kevin W. Wilson, Sagar Savla, Brian Kemler, Vinton G Cerf, Dimitri Kanevsky, Chet Gnegy, Malcolm Slaney, Richard F. Lyon
Publikováno v:
Ear and hearing. 41
A range of new technologies have the potential to help people, whether traditionally considered hearing impaired or not. These technologies include more sophisticated personal sound amplification products, as well as real-time speech enhancement and
Publikováno v:
Journal of shoulder and elbow surgery. 29(7S)
Objectives A good outcome after arthroscopic stabilization for recurrent shoulder instability is often characterized by a successful return to sport while minimizing complications. There is currently no consensus regarding timing or objective criteri
Autor:
Jason W. Pelecanos, Kevin W. Wilson, Mert Saglam, Alexander Gruenstein, Yanzhang He, Ignacio Lopez-Moreno, Marily Nika, Renjie Liu, Quan Wang, Wei Li, Alan Chiao
Publikováno v:
INTERSPEECH
We introduce VoiceFilter-Lite, a single-channel source separation model that runs on the device to preserve only the speech signals from a target user, as part of a streaming speech recognition system. Delivering such a model presents numerous challe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::092079a6e03cab65970a016610f091e3
Publikováno v:
Arthroscopy: The Journal of Arthroscopic & Related Surgery. 37:e21-e22
Autor:
Kevin W. Wilson, Kean Chin, Chanwoo Kim, Bo Li, Ananya Misra, Ron Weiss, Ehsan Variani, Andrew W. Senior, Tara N. Sainath, Izhak Shafran, Michiel Bacchiani, Arun Narayanan
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 25:965-979
Multichannel automatic speech recognition (ASR) systems commonly separate speech enhancement, including localization, beamforming, and postfiltering, from acoustic modeling. In this paper, we perform multichannel enhancement jointly with acoustic mod
Autor:
Desh Raj, Shinji Watanabe, Kevin W. Wilson, Zhong-Qiu Wang, Hakan Erdogan, Scott Wisdom, John R. Hershey, Zhuo Chen
Publikováno v:
SLT
This work introduces sequential neural beamforming, which alternates between neural network based spectral separation and beamforming based spatial separation. Our neural networks for separation use an advanced convolutional architecture trained with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35748980955e2b4872acdef4c2db27c0
http://arxiv.org/abs/1911.07953
http://arxiv.org/abs/1911.07953
Autor:
Ilya Kavalerov, Brian Patton, Kevin W. Wilson, John R. Hershey, Hakan Erdogan, Jonathan Le Roux, Scott Wisdom
Publikováno v:
WASPAA
Recent deep learning approaches have achieved impressive performance on speech enhancement and separation tasks. However, these approaches have not been investigated for separating mixtures of arbitrary sounds of different types, a task we refer to a
Publikováno v:
Orthopaedic Journal of Sports Medicine
Objectives: A good outcome after arthroscopic stabilization for recurrent shoulder instability is often characterized by a successful return to sport while minimizing complications. While many physicians use a minimum of 5 months as a time to return,
Autor:
Hannah Muckenhirn, Kevin W. Wilson, Quan Wang, Ye Jia, Prashant Sridhar, Ron Weiss, John R. Hershey, Ignacio Lopez Moreno, Rif A. Saurous, Zelin Wu
Publikováno v:
INTERSPEECH
In this paper, we present a novel system that separates the voice of a target speaker from multi-speaker signals, by making use of a reference signal from the target speaker. We achieve this by training two separate neural networks: (1) A speaker rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca5f5b3d10fdf392c19bb6fdd651ed93
http://arxiv.org/abs/1810.04826
http://arxiv.org/abs/1810.04826