Fast-Slow Transformer for Visually Grounding Speech

Author:

Peng Puyuan1,Harwath David1

Affiliation:

1. The University of Texas at Austin,Department of Computer Science,Austin,Texas,USA,78712

Publisher

IEEE

Reference43 articles.

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1. SpeechCLIP+: Self-Supervised Multi-Task Representation Learning for Speech Via Clip and Speech-Image Data;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

2. Integrating Self-Supervised Speech Model with Pseudo Word-Level Targets from Visually-Grounded Speech Model;2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW);2024-04-14

3. Speech Guided Masked Image Modeling for Visually Grounded Speech;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

4. Perceptual Synchronization Scoring of Dubbed Content using Phoneme-Viseme Agreement;2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW);2024-01-01

5. Visually Grounded Speech Models Have a Mutual Exclusivity Bias;Transactions of the Association for Computational Linguistics;2024

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