This is the official codebase used for obtaining the results in the ICASSP 2024 paper: A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
- Updated
Oct 28, 2025 - Python
This is the official codebase used for obtaining the results in the ICASSP 2024 paper: A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
Software converts text into audio and vice versa
🔊 Simple and fast PDF and text to Audio converter written in Electron
An intuitive user interface for capturing text-audio sync data built with React.
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