Evaluating Self-Supervised Speech Representations for Indigenous American Languages

5 October 2023

Papers citing "Evaluating Self-Supervised Speech Representations for Indigenous American Languages"

5 / 5 papers shown

Title
FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages Rahul Raja A. Vats 44 1 0 28 Mar 2025
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets Jiatong Shi Shih-Heng Wang William Chen Martijn Bartelds Vanya Bannihatti Kumar ... Xuankai Chang Dan Jurafsky Karen Livescu Hung-yi Lee Shinji Watanabe AuLLM 77 5 0 12 Jun 2024
Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond Jiatong Shi William Chen Dan Berrebbi Hsiu-Hsuan Wang Wei-Ping Huang ... Yuxun Tang Shang-Wen Li Abdelrahman Mohamed Hung-yi Lee Shinji Watanabe LRM ELM 42 15 0 09 Oct 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 79 253 0 02 Mar 2023
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 89 283 0 25 May 2022