Výsledky vyhledávání

131Spatio-temporal analysis to assess health effects of landscape fire smoke: an empirical model

Autor: Laura Clappinson, Rowena Burch, Emmanuel T. Ongee, Stephen J. Ball, Peter Franklin, Lin Ting, Ivana Ivánová, Paula Fievez, Le Jian, Alex Xiao, Ashraf Dewan, Grace Yun, Brad Santos, Nathan Eaton, Adeleh Shirangi

Publikováno v: International Journal of Epidemiology. 50

Background Understanding the health effects of smoke from landscape fires (LFs), including wildfires and prescribed burns, is limited due to lack of adequate smoke exposure measures. Methods We used the reported LFs to determine smoke plume shapes fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e1f33baf7efc3a8cfbfdf2ff3d76c699
https://doi.org/10.1093/ije/dyab168.722

Zobrazit plný text záznamu

Understanding current and projected emergency department presentations and associated healthcare costs in a changing thermal climate in Adelaide, South Australia

Autor: Berhanu Yazew Wondmagegn, Jianjun Xiang, Keith Dear, Susan Williams, Alana Hansen, Dino Pisaniello, Monika Nitschke, John Nairn, Ben Scalley, Alex Xiao, Le Jian, Michael Tong, Hilary Bambrick, Jonathan Karnon, Peng Bi

Publikováno v: Occupational and environmental medicine. 79(6)

BackgroundExposure to extreme temperatures is associated with increased emergency department (ED) presentations. The resulting burden on health service costs and the potential impact of climate change is largely unknown. This study examines the tempe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f862baa224c543ef1f9a3c6809cc6e3
https://pubmed.ncbi.nlm.nih.gov/35379702

Zobrazit plný text záznamu

Dynamic Encoder Transducer: A Flexible Solution For Trading Off Accuracy For Latency

Autor: Ching-Feng Yeh, Ozlem Kalinli, Yangyang Shi, Chunyang Wu, Rohit Prabhavalkar, Alex Xiao, Christian Fuegen, Duc Le, Michael L. Seltzer, Varun K. Nagaraja, Julian Chan, Jay Mahadeokar

We propose a dynamic encoder transducer (DET) for on-device speech recognition. One DET model scales to multiple devices with different computation capacities without retraining or finetuning. To trading off accuracy and latency, DET assigns differen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c19b870d3c9858d0288619e077dd8bb4
http://arxiv.org/abs/2104.02176

Zobrazit plný text záznamu

Towards Measuring Fairness in Speech Recognition: Casual Conversations Dataset Transcriptions

Autor: Chunxi Liu, Michael Picheny, Leda Sari, Pooja Chitkara, Alex Xiao, Xiaohui Zhang, Mark Chou, Andres Alvarado, Caner Hazirbas, Yatharth Saraf

It is well known that many machine learning systems demonstrate bias towards specific groups of individuals. This problem has been studied extensively in the Facial Recognition area, but much less so in Automatic Speech Recognition (ASR). This paper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32a2faabe31f425418971a38c2cf4188

Zobrazit plný text záznamu

Scaling ASR Improves Zero and Few Shot Learning

Autor: Weiyi Zheng, Alex Xiao, Gil Keren, Duc Le, Frank Zhang, Christian Fuegen, Ozlem Kalinli, Yatharth Saraf, Abdelrahman Mohamed

With 4.5 million hours of English speech from 10 different sources across 120 countries and models of up to 10 billion parameters, we explore the frontiers of scale for automatic speech recognition. We propose data selection techniques to efficiently

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75de3266af06b98ab25a97f6b1731a06

Zobrazit plný text záznamu

Contrastive Semi-supervised Learning for ASR

Autor: Christian Fuegen, Alex Xiao, Abdelrahman Mohamed

Publikováno v: ICASSP

Pseudo-labeling is the most adopted method for pre-training automatic speech recognition (ASR) models. However, its performance suffers from the supervised teacher model's degrading quality in low-resource setups and under domain transfer. Inspired b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3d38b3402eea4353dac749d58f5c54

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání