Zobrazeno 1 - 10
of 5 512
pro vyhledávání: '"Peyser, A."'
Autor:
Meng, Zhong, Wu, Zelin, Prabhavalkar, Rohit, Peyser, Cal, Wang, Weiran, Chen, Nanxin, Sainath, Tara N., Ramabhadran, Bhuvana
Publikováno v:
Interspeech 2024, Kos Island, Greece
Neural contextual biasing effectively improves automatic speech recognition (ASR) for crucial phrases within a speaker's context, particularly those that are infrequent in the training data. This work proposes contextual text injection (CTI) to enhan
Externí odkaz:
http://arxiv.org/abs/2406.02921
Autor:
Ghislain Rocheleau, Shoa L. Clarke, Gaëlle Auguste, Natalie R. Hasbani, Alanna C. Morrison, Adam S. Heath, Lawrence F. Bielak, Kruthika R. Iyer, Erica P. Young, Nathan O. Stitziel, Goo Jun, Cecelia Laurie, Jai G. Broome, Alyna T. Khan, Donna K. Arnett, Lewis C. Becker, Joshua C. Bis, Eric Boerwinkle, Donald W. Bowden, April P. Carson, Patrick T. Ellinor, Myriam Fornage, Nora Franceschini, Barry I. Freedman, Nancy L. Heard-Costa, Lifang Hou, Yii-Der Ida Chen, Eimear E. Kenny, Charles Kooperberg, Brian G. Kral, Ruth J. F. Loos, Sharon M. Lutz, JoAnn E. Manson, Lisa W. Martin, Braxton D. Mitchell, Rami Nassir, Nicholette D. Palmer, Wendy S. Post, Michael H. Preuss, Bruce M. Psaty, Laura M. Raffield, Elizabeth A. Regan, Stephen S. Rich, Jennifer A. Smith, Kent D. Taylor, Lisa R. Yanek, Kendra A. Young, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Austin T. Hilliard, Catherine Tcheandjieu, Patricia A. Peyser, Ramachandran S. Vasan, Jerome I. Rotter, Clint L. Miller, Themistocles L. Assimes, Paul S. de Vries, Ron Do
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 c
Externí odkaz:
https://doaj.org/article/06f5575dd28f4c74ac4e7a972d07a02f
Autor:
Umesh Nuthalapati, Manoj Reddy Bathinapattla, Rayner Peyser Cardoso, Nusrat Jahan Jesi, Kanwarmandeep Singh, Iman Moradi, Karol Gostomczyk, Maham Afzal, Moosa Bin Omer, Zorez Rashid Mian, Soham Patel, Pratyush Sachdeva, Muhammad Nauman Malik, Mohammad Abbas, Jugraj Singh, Muhammad Ashir Shafique
Publikováno v:
The Egyptian Heart Journal, Vol 76, Iss 1, Pp 1-11 (2024)
Abstract Background Infective endocarditis (IE) poses significant clinical challenges, often necessitating surgical intervention for improved patient outcomes. The choice between mitral valve repair (MVP) and mitral valve replacement (MVR) is crucial
Externí odkaz:
https://doaj.org/article/c1ef715d300d4716a03166bc40a648fb
Autor:
Peyser, Cal, Meng, Zhong, Hu, Ke, Prabhavalkar, Rohit, Rosenberg, Andrew, Sainath, Tara N., Picheny, Michael, Cho, Kyunghyun
Publikováno v:
INTERSPEECH 2023
The last year has seen astonishing progress in text-prompted image generation premised on the idea of a cross-modal representation space in which the text and image domains are represented jointly. In ASR, this idea has found application as joint spe
Externí odkaz:
http://arxiv.org/abs/2308.06125
Autor:
Peyser, Cal, Picheny, Michael, Cho, Kyunghyun, Prabhavalkar, Rohit, Huang, Ronny, Sainath, Tara
Publikováno v:
2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Unpaired text and audio injection have emerged as dominant methods for improving ASR performance in the absence of a large labeled corpus. However, little guidance exists on deploying these methods to improve production ASR systems that are trained o
Externí odkaz:
http://arxiv.org/abs/2304.11053
Autor:
Peyser, Cal, Huang, Ronny, Sainath, Tara, Prabhavalkar, Rohit, Picheny, Michael, Cho, Kyunghyun
Dual learning is a paradigm for semi-supervised machine learning that seeks to leverage unsupervised data by solving two opposite tasks at once. In this scheme, each model is used to generate pseudo-labels for unlabeled examples that are used to trai
Externí odkaz:
http://arxiv.org/abs/2301.04327
Autor:
Huang, W. Ronny, Chang, Shuo-Yiin, Sainath, Tara N., He, Yanzhang, Rybach, David, David, Robert, Prabhavalkar, Rohit, Allauzen, Cyril, Peyser, Cal, Strohman, Trevor D.
We explore unifying a neural segmenter with two-pass cascaded encoder ASR into a single model. A key challenge is allowing the segmenter (which runs in real-time, synchronously with the decoder) to finalize the 2nd pass (which runs 900 ms behind real
Externí odkaz:
http://arxiv.org/abs/2211.15432
Autor:
Rebecca Keener, Surya B. Chhetri, Carla J. Connelly, Margaret A. Taub, Matthew P. Conomos, Joshua Weinstock, Bohan Ni, Benjamin Strober, Stella Aslibekyan, Paul L. Auer, Lucas Barwick, Lewis C. Becker, John Blangero, Eugene R. Bleecker, Jennifer A. Brody, Brian E. Cade, Juan C. Celedon, Yi-Cheng Chang, L. Adrienne Cupples, Brian Custer, Barry I. Freedman, Mark T. Gladwin, Susan R. Heckbert, Lifang Hou, Marguerite R. Irvin, Carmen R. Isasi, Jill M. Johnsen, Eimear E. Kenny, Charles Kooperberg, Ryan L. Minster, Take Naseri, Satupa’itea Viali, Sergei Nekhai, Nathan Pankratz, Patricia A. Peyser, Kent D. Taylor, Marilyn J. Telen, Baojun Wu, Lisa R. Yanek, Ivana V. Yang, Christine Albert, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, Joshua C. Bis, Thomas W. Blackwell, Eric Boerwinkle, Esteban G. Burchard, April P. Carson, Zhanghua Chen, Yii-Der Ida Chen, Dawood Darbar, Mariza de Andrade, Patrick T. Ellinor, Myriam Fornage, Bruce D. Gelb, Frank D. Gilliland, Jiang He, Talat Islam, Stefan Kaab, Sharon L. R. Kardia, Shannon Kelly, Barbara A. Konkle, Rajesh Kumar, Ruth J. F. Loos, Fernando D. Martinez, Stephen T. McGarvey, Deborah A. Meyers, Braxton D. Mitchell, Courtney G. Montgomery, Kari E. North, Nicholette D. Palmer, Juan M. Peralta, Benjamin A. Raby, Susan Redline, Stephen S. Rich, Dan Roden, Jerome I. Rotter, Ingo Ruczinski, David Schwartz, Frank Sciurba, M. Benjamin Shoemaker, Edwin K. Silverman, Moritz F. Sinner, Nicholas L. Smith, Albert V. Smith, Hemant K. Tiwari, Ramachandran S. Vasan, Scott T. Weiss, L. Keoki Williams, Yingze Zhang, Elad Ziv, Laura M. Raffield, Alexander P. Reiner, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Hematology and Hemostasis Working Group, TOPMed Structural Variation Working Group, Marios Arvanitis, Carol W. Greider, Rasika A. Mathias, Alexis Battle
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-21 (2024)
Abstract Genome-wide association studies (GWAS) have become well-powered to detect loci associated with telomere length. However, no prior work has validated genes nominated by GWAS to examine their role in telomere length regulation. We conducted a
Externí odkaz:
https://doaj.org/article/3e293e6c932a4a42b553d789d690044b
The careful construction of audio representations has become a dominant feature in the design of approaches to many speech tasks. Increasingly, such approaches have emphasized "disentanglement", where a representation contains only parts of the speec
Externí odkaz:
http://arxiv.org/abs/2208.13191
Autor:
Huang, W. Ronny, Chang, Shuo-yiin, Rybach, David, Prabhavalkar, Rohit, Sainath, Tara N., Allauzen, Cyril, Peyser, Cal, Lu, Zhiyun
Improving the performance of end-to-end ASR models on long utterances ranging from minutes to hours in length is an ongoing challenge in speech recognition. A common solution is to segment the audio in advance using a separate voice activity detector
Externí odkaz:
http://arxiv.org/abs/2204.10749