Some voices are too common: Building fair speech recognition systems using the Common Voice dataset

1 June 2023

Papers citing "Some voices are too common: Building fair speech recognition systems using the Common Voice dataset"

8 / 8 papers shown

Title
Exploring Gender Disparities in Automatic Speech Recognition Technology Hend Elghazaly B. Mirheidari Nafise Sadat Moosavi H. Christensen 47 0 0 25 Feb 2025
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages Yu Zhang Wei Han James Qin Yongqiang Wang Ankur Bapna ... Pedro J. Moreno Chung-Cheng Chiu J. Schalkwyk Franccoise Beaufays Yonghui Wu VLM 77 250 0 02 Mar 2023
Self-Supervised Speech Representation Learning: A Review Abdel-rahman Mohamed Hung-yi Lee Lasse Borgholt Jakob Drachmann Havtorn Joakim Edin ... Shang-Wen Li Karen Livescu Lars Maaløe Tara N. Sainath Shinji Watanabe SSL AI4TS 124 344 0 21 May 2022
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition Qiu-shi Zhu Jie M. Zhang Zi-qiang Zhang Ming Wu Xin Fang Lirong Dai 115 39 0 22 Jan 2022
ASR4REAL: An extended benchmark for speech models M. Rivière Jade Copet Gabriel Synnaeve AuLLM 39 15 0 16 Oct 2021
Don't speak too fast: The impact of data bias on self-supervised speech models Yen Meng Yi-Hui Chou Andy T. Liu Hung-yi Lee 34 24 0 15 Oct 2021
Accented Speech Recognition: A Survey Arthur Hinsvark Natalie Delworth Miguel Rio Quinten McNamara Joshua Dong ... Joseph Palakapilly Jennifer Drexler I. Pirkin Nishchal Bhandari Miguel Jetté 41 25 0 21 Apr 2021
Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition Yu Zhang James Qin Daniel S. Park Wei Han Chung-Cheng Chiu Ruoming Pang Quoc V. Le Yonghui Wu VLM SSL 136 307 0 20 Oct 2020