Zobrazeno 1 - 10
of 1 166
pro vyhledávání: '"Seaver P"'
Autor:
Jiang, Pan-Pan, Tobin, Jimmy, Tomanek, Katrin, MacDonald, Robert L., Seaver, Katie, Cave, Richard, Ladewig, Marilyn, Heywood, Rus, Green, Jordan R.
Project Euphonia, a Google initiative, is dedicated to improving automatic speech recognition (ASR) of disordered speech. A central objective of the project is to create a large, high-quality, and diverse speech corpus. This report describes the proj
Externí odkaz:
http://arxiv.org/abs/2409.09190
Autor:
Cai, Shanqing, Venugopalan, Subhashini, Seaver, Katie, Xiao, Xiang, Tomanek, Katrin, Jalasutram, Sri, Morris, Meredith Ringel, Kane, Shaun, Narayanan, Ajit, MacDonald, Robert L., Kornman, Emily, Vance, Daniel, Casey, Blair, Gleason, Steve M., Nelson, Philip Q., Brenner, Michael P.
Finding ways to accelerate text input for individuals with profound motor impairments has been a long-standing area of research. Closing the speed gap for augmentative and alternative communication (AAC) devices such as eye-tracking keyboards is impo
Externí odkaz:
http://arxiv.org/abs/2312.01532
Autor:
Woodley, Lucas, See, Chung Yi, Cook, Peter, Yeo, Megan, Palmer, Daniel S., Huh, Laurena, Wang, Seaver, Nunes, Ashley
Recently proposed tailpipe emissions standards aim to significant increases in electric vehicle (EV) sales in the United States. Our work examines whether this increase is achievable given potential constraints in EV mineral supply chains. We estimat
Externí odkaz:
http://arxiv.org/abs/2309.15368
Autor:
Shanqing Cai, Subhashini Venugopalan, Katie Seaver, Xiang Xiao, Katrin Tomanek, Sri Jalasutram, Meredith Ringel Morris, Shaun Kane, Ajit Narayanan, Robert L. MacDonald, Emily Kornman, Daniel Vance, Blair Casey, Steve M. Gleason, Philip Q. Nelson, Michael P. Brenner
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Accelerating text input in augmentative and alternative communication (AAC) is a long-standing area of research with bearings on the quality of life in individuals with profound motor impairments. Recent advances in large language models (LL
Externí odkaz:
https://doaj.org/article/028c427245d94b0b92a7319f9750017f
Autor:
Venugopalan, Subhashini, Tobin, Jimmy, Yang, Samuel J., Seaver, Katie, Cave, Richard J. N., Jiang, Pan-Pan, Zeghidour, Neil, Heywood, Rus, Green, Jordan, Brenner, Michael P.
We developed dysarthric speech intelligibility classifiers on 551,176 disordered speech samples contributed by a diverse set of 468 speakers, with a range of self-reported speaking disorders and rated for their overall intelligibility on a five-point
Externí odkaz:
http://arxiv.org/abs/2303.07533
Autor:
Lucas Woodley, Chung Yi See, Peter Cook, Megan Yeo, Daniel S. Palmer, Laurena Huh, Seaver Wang, Ashley Nunes
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract New tailpipe emissions standards aim to increase electric vehicle (EV) sales in the United States. Here, we analyze the associated critical mineral supply chain constraints and enumerate the climate consequences of these constraints. Our wor
Externí odkaz:
https://doaj.org/article/8911d00c148f4bdaaa38c9cbe3fbed34
Autor:
Tomanek, Katrin, Seaver, Katie, Jiang, Pan-Pan, Cave, Richard, Harrel, Lauren, Green, Jordan R.
Although personalized automatic speech recognition (ASR) models have recently been designed to recognize even severely impaired speech, model performance may degrade over time for persons with degenerating speech. The aims of this study were to (1) a
Externí odkaz:
http://arxiv.org/abs/2211.00089
Autor:
Tobin, Jimmy, Li, Qisheng, Venugopalan, Subhashini, Seaver, Katie, Cave, Richard, Tomanek, Katrin
Word Error Rate (WER) is the primary metric used to assess automatic speech recognition (ASR) model quality. It has been shown that ASR models tend to have much higher WER on speakers with speech impairments than typical English speakers. It is hard
Externí odkaz:
http://arxiv.org/abs/2209.10591
Autor:
Deborah C. Beidel, Clint A. Bowers, Amie. R. Newins, Christine Seaver, David Rozek, Carole McDaniel, Daniel R. Horning
Publikováno v:
Frontiers in Virtual Reality, Vol 5 (2024)
Introduction: There is increasing recognition that first responders’ exposure to multiple traumatic events puts them at risk for the development of emotional distress, including depression, substance misuse, posttraumatic stress disorder (PTSD), an
Externí odkaz:
https://doaj.org/article/a6e03d87bf934a4dbd3515c18749276a
Publikováno v:
Children, Vol 11, Iss 9, p 1078 (2024)
Background/Objectives: We aimed to investigate the influence of cardiorespiratory fitness (CRF) and body composition on arterial stiffness. Methods: Carotid-to-femoral pulse wave velocity (cfPWV) and aortic systolic (ASBP) and diastolic (ADBP) blood
Externí odkaz:
https://doaj.org/article/98d93404cd7b4077a95483aa9fc0a97a