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CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding

CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding

Etienne Labbé
Thomas Pellegrini
J. Pinquier
ArXiv (abs)PDFHTMLGithub (18★)

Papers citing "CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding"

5 / 5 papers shown
Title
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
SSLAM: Enhancing Self-Supervised Models with Audio Mixtures for Polyphonic Soundscapes
Tony Alex
S. Ahmed
A. Mustafa
Muhammad Awais
Philip J. B. Jackson
37
1
0
13 Jun 2025
Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model
Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model
Yong Ren
Chenxing Li
Le Xu
Hao Gu
Duzhen Zhang
Yujie Chen
Manjie Xu
Ruibo Fu
Shan Yang
Dong Yu
LRM
92
0
0
19 May 2025
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
201
3
0
10 Jan 2025
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesis
Ho Kei Cheng
Masato Ishii
Akio Hayakawa
Takashi Shibuya
Alex Schwing
Yuki Mitsufuji
VGen
310
18
0
19 Dec 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.9K
14,698
0
07 Oct 2016

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