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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 END-TO-END SPEECH RECOGNITION FROM FEDERATED ACOUSTIC MODELS Gao, Yan; Parcollet, Titouan; Zaiem, Salah; Fernandez-Marques, Javier; De Gusmao, Pedro; Beutel, Daniel; Lane, Nicholas In: The International Conference on Acoustics, Speech, & Signal Processing (ICASSP) ; https://hal.archives-ouvertes.fr/hal-03601224 ; The International Conference on Acoustics, Speech, & Signal Processing (ICASSP), May 2022, Singapour, Singapore (2022) Abstract: International audience ; Training Automatic Speech Recognition (ASR) models under federated learning (FL) settings has attracted a lot of attention recently. However, the FL scenarios often presented in the literature are artificial and fail to capture the complexity of real FL systems. In this paper, we construct a challenging and realistic ASR federated experimental setup consisting of clients with heterogeneous data distributions using the French and Italian sets of the CommonVoice dataset, a large heterogeneous dataset containing thousands of different speakers, acoustic environments and noises. We present the first empirical study on attention-based sequence-to-sequence Endto-End (E2E) ASR model with three aggregation weighting strategies-standard FedAvg, loss-based aggregation and a novel word error rate (WER)-based aggregation, compared in two realistic FL scenarios: cross-silo with 10 clients and cross-device with 2K and 4K clients. Our analysis on E2E ASR from heterogeneous and realistic federated acoustic models provides the foundations for future research and development of realistic FL-based ASR applications. Keyword: [INFO]Computer Science [cs] URL: https://hal.archives-ouvertes.fr/hal-03601224 https://hal.archives-ouvertes.fr/hal-03601224/file/2104.14297.pdf https://hal.archives-ouvertes.fr/hal-03601224/document BASE Hide details 2 Translating Headers of Tabular Data: A Pilot Study of Schema Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gao, Yan; Guo, Jiaqi. - : Underline Science Inc., 2021 BASE Show details 3 A Hybrid Semantic Parsing Approach for Tabular Data Analysis ... Gao, Yan; Lou, Jian-Guang; Zhang, Dongmei. - : arXiv, 2019 BASE Show details 4 Mobile technology utilization among patients from diverse cultural and linguistic backgrounds attending cardiac rehabilitation. Gao, Yan; Ding, Ding; Gallagher, Patrick. - 2018 BASE Show details 5 Textual organisation and construal of interpersonal meanings in different genres of medical texts ... Gao, Yan. - : Aston University, 2018 BASE Show details 6 Textual organisation and construal of interpersonal meanings in different genres of medical texts Gao, Yan. - 2018 BASE Show details 7 Mobile Technology Utilization Among Patients From Diverse Cultural and Linguistic Backgrounds Attending Cardiac Rehabilitation in Australia: Descriptive, Case-Matched Comparative Study Zhang, Ling; Ding, Ding; Neubeck, Lis. - : JMIR Publications, 2018 BASE Show details 8 Why did you withdraw? Experiences of Chinese international doctoral students in Canada Gao, Yan. - 2018 BASE Show details 9 Mobile Technology Use Across Age Groups in Patients Eligible for Cardiac Rehabilitation: Survey Study Neubeck, Lis; Gallagher, Robyn; Roach, Kellie. - : JMIR Publications, 2017 BASE Show details 10 SCUT-COUCH2009 - a comprehensive online unconstrained Chinese handwriting database and benchmark evaluation Liu, Gang; Ding, Kai; Gao, Yan... In: International journal on document analysis and recognition. - Berlin ; Heidelberg : Springer 14 (2011) 1, 53-64 BLLDB OLC Linguistik Show details

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