13 citations · 41 across the 11 of their papers we have counts for
14 papers
Efficient Audio Captioning with Encoder-Level Knowledge Distillation
Xuenan Xu, Haohe Liu, Mengyue Wu +2
Significant improvement has been achieved in automated audio captioning (AAC) with recent models. However, these models have become increasingly large as their performance is enhan…
Text-Queried Target Sound Event Localization
Jinzheng Zhao, Xinyuan Qian, Yong Xu +4
Sound event localization and detection (SELD) aims to determine the appearance of sound classes, together with their Direction of Arrival (DOA). However, current SELD systems can o…
Zero-Shot Audio Captioning Using Soft and Hard Prompts
Yiming Zhang, Xuenan Xu, Ruoyi Du +5
In traditional audio captioning methods, a model is usually trained in a fully supervised manner using a human-annotated dataset containing audio-text pairs and then evaluated on t…
T-CLAP: Temporal-Enhanced Contrastive Language-Audio Pretraining
Yi Yuan, Zhuo Chen, Xubo Liu +6
Contrastive language-audio pretraining~(CLAP) has been developed to align the representations of audio and language, achieving remarkable performance in retrieval and classificatio…
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
Jisheng Bai, Mou Wang, Haohe Liu +11
Acoustic scene classification (ASC) is a crucial research problem in computational auditory scene analysis, and it aims to recognize the unique acoustic characteristics of an envir…
Synth-AC: Enhancing Audio Captioning with Synthetic Supervision
Feiyang Xiao, Qiaoxi Zhu, Jian Guan +4
Data-driven approaches hold promise for audio captioning. However, the development of audio captioning methods can be biased due to the limited availability and quality of text-aud…