Search Results for author:
Found 4 papers, 3 papers with code
A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval
Furthermore, we show that using the same prompts, we can successfully employ LLMs to improve the retrieval on EpicSounds, compared to using the original audio class labels of the dataset.
Audio Retrieval with Natural Language Queries: A Benchmark Study
Additionally, we introduce the SoundDescs benchmark, which consists of paired audio and natural language descriptions for a diverse collection of sounds that are complementary to those found in AudioCaps and Clotho.
Ranked #1 on
Audio to Text Retrieval
on SoundDescs
Audio Retrieval with Natural Language Queries
We consider the task of retrieving audio using free-form natural language queries.
Ranked #1 on
Audio/Video to Text Retrieval
on AudioCaps
QuerYD: A video dataset with high-quality text and audio narrations
We introduce QuerYD, a new large-scale dataset for retrieval and event localisation in video.
