Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Colin Vaz"'
Autor:
Yongwan Lim, Asterios Toutios, Yannick Bliesener, Ye Tian, Sajan Goud Lingala, Colin Vaz, Tanner Sorensen, Miran Oh, Sarah Harper, Weiyi Chen, Yoonjeong Lee, Johannes Töger, Mairym Lloréns Monteserin, Caitlin Smith, Bianca Godinez, Louis Goldstein, Dani Byrd, Krishna S. Nayak, Shrikanth S. Narayanan
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Measurement(s) Speech • vocal tract Technology Type(s) magnetic resonance imaging Factor Type(s) age • sex • native/non-native speaker Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data:
Externí odkaz:
https://doaj.org/article/b53f665f1e4544a4a1a235b624f3cb05
Autor:
Yifeng Fan, Colin Vaz, Di He, Jahn Heymann, Viet Anh Trinh, Zhe Zhang, Venkatesh Ravichandran
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Autor:
Colin Vaz, Shrikanth S. Narayanan
Publikováno v:
Pattern Recognition Letters. 144:105-111
Various information-theoretic divergences have been proposed for the cost function in tasks such as matrix factorization and clustering. One class of divergence is called the Beta divergence. By varying a real-valued parameter β , the Beta divergenc
Autor:
Yoonjeong Lee, Ye Tian, Asterios Toutios, Yongwan Lim, Mairym Lloréns Monteserin, Krishna S. Nayak, Bianca Godinez, Miran Oh, Louis Goldstein, Weiyi Chen, Yannick Bliesener, Sajan Goud Lingala, Shrikanth S. Narayanan, Johannes Töger, Dani Byrd, Sarah Harper, Colin Vaz, Caitlin Smith, Tanner Sorensen
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-14 (2021)
Scientific Data
Scientific Data
Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development, and clinical applications. Easy access to RT-MRI is however limited,
Publikováno v:
WearSys@MobiSys
Most existing speech activity trackers used in human subject studies are bulky, record raw audio content which invades participant privacy, have complicated hardware and non-customizable software, and are too expensive for large-scale deployment. The
We present a method for speech enhancement of data collected in extremely noisy environments, such as those obtained during magnetic resonance imaging (MRI) scans. We propose an algorithm based on dictionary learning to perform this enhancement. We u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::008796a8b58469bd47c5d2dd95a59b41
https://europepmc.org/articles/PMC6157637/
https://europepmc.org/articles/PMC6157637/
Autor:
Boliang Zhang, Colin Vaz, Heng Ji, Lukas Burget, Di Lu, Ying Lin, Martin Karafiat, Shrikanth S. Narayanan, Kevin Knight, Mark Hasegawa-Johnson, Jonathan May, Michael Pust, Ondřej Glembek, Pavlos Papadopoulos, Murali Karthick Baskar, Nima Pourdamghani, Ruchir Travadi, Nikolaos Malandrakis, Xiaoman Pan, Ulf Hermjakob
Publikováno v:
INTERSPEECH
Autor:
Sajan Goud Lingala, Colin Vaz, Yongwan Lim, Shrikanth S. Narayanan, Johannes Töger, Yoon-Chul Kim, Yinghua Zhu, Asterios Toutios, Krishna S. Nayak
Publikováno v:
INTERSPEECH
Autor:
Louis Goldstein, Asterios Toutios, Sajan Goud Lingala, Krishna S. Nayak, Jangwon Kim, Dani Byrd, Matthew Gordon, Shrikanth S. Narayanan, Patricia A. Keating, John H. Esling, Colin Vaz
Publikováno v:
INTERSPEECH