Papers with audio-language pre-training methods

1 papers
CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations (2021.emnlp-main)

Copied to clipboard

Challenge: Existing audio-language task-specific predictive approaches focus on building complicated late-fusion mechanisms.
Approach: They propose a cross-modal transformer for audio-and-language that learns inter-modal connections between audio and language through two proxy tasks on a large amount of audio- and-language pairs.
Outcome: The proposed model improves on multiple audio-and-language tasks and can be used in fine-tuning phase.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations