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A SOUND APPROACH: Using Large Language Models to generate audio
  descriptions for egocentric text-audio retrieval

A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval

29 February 2024
Andreea-Maria Oncescu
João F. Henriques
Andrew Zisserman
Samuel Albanie
A. Sophia Koepke
ArXivPDFHTML

Papers citing "A SOUND APPROACH: Using Large Language Models to generate audio descriptions for egocentric text-audio retrieval"

5 / 5 papers shown
Title
Audio-Language Datasets of Scenes and Events: A Survey
Audio-Language Datasets of Scenes and Events: A Survey
Gijs Wijngaard
Elia Formisano
Michele Esposito
M. Dumontier
81
2
0
10 Jan 2025
Epic-Sounds: A Large-scale Dataset of Actions That Sound
Epic-Sounds: A Large-scale Dataset of Actions That Sound
Jaesung Huh
Jacob Chalk
Evangelos Kazakos
Dima Damen
Andrew Zisserman
EgoV
18
41
0
01 Feb 2023
Learning State-Aware Visual Representations from Audible Interactions
Learning State-Aware Visual Representations from Audible Interactions
Himangi Mittal
Pedro Morgado
Unnat Jain
Abhinav Gupta
75
22
0
27 Sep 2022
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound
  Classification and Detection
HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Ke Chen
Xingjian Du
Bilei Zhu
Zejun Ma
Taylor Berg-Kirkpatrick
Shlomo Dubnov
ViT
118
264
0
02 Feb 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman
Andrew Westbury
Eugene Byrne
Zachary Chavis
Antonino Furnari
...
Mike Zheng Shou
Antonio Torralba
Lorenzo Torresani
Mingfei Yan
Jitendra Malik
EgoV
229
1,019
0
13 Oct 2021
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