On the Effects of Heterogeneous Data Sources on Speech-to-Text
Foundation Models

On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models

13 June 2024

Yifan Peng

William Chen

Shinji Watanabe

Papers citing "On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models"

5 / 5 papers shown

Title
Efficiently Identifying Low-Quality Language Subsets in Multilingual Datasets: A Case Study on a Large-Scale Multilingual Audio Dataset Farhan Samir Emily P. Ahn Shreya Prakash Márton Soskuthy Vered Shwartz Jian Zhu 24 0 0 05 Oct 2024
Scaling Speech Technology to 1,000+ Languages Vineel Pratap Andros Tjandra Bowen Shi Paden Tomasello Arun Babu ... Yossi Adi Xiaohui Zhang Wei-Ning Hsu Alexis Conneau Michael Auli VLM 73 297 0 22 May 2023
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 77 249 0 02 Mar 2023
E-Branchformer: Branchformer with Enhanced merging for speech recognition Kwangyoun Kim Felix Wu Yifan Peng Jing Pan Prashant Sridhar Kyu Jeong Han Shinji Watanabe 44 104 0 30 Sep 2022
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech Alexis Conneau Min Ma Simran Khanuja Yu Zhang Vera Axelrod Siddharth Dalmia Jason Riesa Clara E. Rivera Ankur Bapna VLM 78 281 0 25 May 2022