An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models

14 September 2019

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 13 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