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1909.06678
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An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models
14 September 2019
K. Sim
P. Zadrazil
F. Beaufays
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Papers citing
"An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models"
10 / 10 papers shown
Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models
Y. Cai
Ziqi Zhang
Ding Li
Yao Guo
Xiangqun Chen
50
0
0
13 Mar 2025
ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization
Haaris Mehmood
Karthikeyan P. Saravanan
Pablo Peso Parada
David Tuckey
Mete Ozay
Gil Ho Lee
Jungin Lee
Seokyeong Jung
52
0
0
12 Mar 2025
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
Yichen Ruan
Carlee Joe-Wong
FedML
24
87
0
11 Dec 2021
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
27
87
0
17 Nov 2021
Federated Multi-Task Learning under a Mixture of Distributions
Othmane Marfoq
Giovanni Neglia
A. Bellet
Laetitia Kameni
Richard Vidal
FedML
40
269
0
23 Aug 2021
Management of Resource at the Network Edge for Federated Learning
Silvana Trindade
L. Bittencourt
N. Fonseca
22
6
0
07 Jul 2021
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech
Katrin Tomanek
Franccoise Beaufays
Julie Cattiau
Angad Chandorkar
K. Sim
15
15
0
18 Jun 2021
Error-driven Fixed-Budget ASR Personalization for Accented Speakers
Abhijeet Awasthi
A. Kansal
Sunita Sarawagi
P. Jyothi
18
9
0
04 Mar 2021
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
182
326
0
19 Mar 2020
Improving Federated Learning Personalization via Model Agnostic Meta Learning
Yihan Jiang
Jakub Konecný
Keith Rush
Sreeram Kannan
FedML
11
586
0
27 Sep 2019
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