Superb @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning

Author:

Feng Tzu-hsun1,Dong Annie2,Yeh Ching-Feng2,Yang Shu-wen1,Lin Tzu-Quan1,Shi Jiatong3,Chang Kai-Wei1,Huang Zili4,Wu Haibin1,Chang Xuankai3,Watanabe Shinji3,Mohamed Abdelrahman2,Li Shang-Wen2,Lee Hung-yi1

Affiliation:

1. National Taiwan University,Taiwan

2. Meta,USA

3. Carnegie Mellon University,USA

4. Johns Hopkins University,USA

Publisher

IEEE

Reference60 articles.

1. Self-supervised Representation Learning for Speech Processing

2. Unsupervised speech recognition;baevski;Advances in Neu-ral Information Processing Systems,2021

3. SUPERB-SG: Enhanced Speech processing Universal PER-formance Benchmark for Semantic and Generative Capabili-ties;tsai;ACL,2022

4. Towards end-to-end unsupervised speech recognition;liu;ArXiv Preprint,2022

5. Generative Pre-Training for Speech with Autoregressive Predictive Coding

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4. AV-SUPERB: A Multi-Task Evaluation Benchmark for Audio-Visual Representation Models;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

5. A Large-Scale Evaluation of Speech Foundation Models;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

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