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20112023
most citedWavCaps: A ChatGPT-Assisted Weakly-Labelled Audio Captioning Dataset for Audio-Language Multimodal Research

138 citations · 1.4k across the 89 of their papers we have counts for

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Showing 2023 · eess.ASShow all

8 papers · 2 filters

eess.AS2023

Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning

Yuanbo Hou, Siyang Song, Cheng Luo +6

Sound events in daily life carry rich information about the objective world. The composition of these sounds affects the mood of people in a soundscape. Most previous approaches on…

eess.AS2023★ 4 cited

META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection

Jinbo Hu, Yin Cao, Ming Wu +5

For learning-based sound event localization and detection (SELD) methods, different acoustic environments in the training and test sets may result in large performance differences…

eess.AS2023★ 3 cited

Separate Anything You Describe

Xubo Liu, Qiuqiang Kong, Yan Zhao +7

Language-queried audio source separation (LASS) is a new paradigm for computational auditory scene analysis (CASA). LASS aims to separate a target sound from an audio mixture given…

eess.AS2023★ 1 cited

Knowledge Distillation for Efficient Audio-Visual Video Captioning

Özkan Çaylı, Xubo Liu, Volkan Kılıç +1

Automatically describing audio-visual content with texts, namely video captioning, has received significant attention due to its potential applications across diverse fields. Deep…

eess.AS2023

Dual Transformer Decoder based Features Fusion Network for Automated Audio Captioning

Jianyuan Sun, Xubo Liu, Xinhao Mei +3

Automated audio captioning (AAC) which generates textual descriptions of audio content. Existing AAC models achieve good results but only use the high-dimensional representation of…

eess.AS2023

Adapting Language-Audio Models as Few-Shot Audio Learners

Jinhua Liang, Xubo Liu, Haohe Liu +4

We presented the Treff adapter, a training-efficient adapter for CLAP, to boost zero-shot classification performance by making use of a small set of labelled data. Specifically, we…