Adapting Language-Audio Models as Few-Shot Audio Learners
This paper gets accepted by INTERSPEECH 2023.
Posts by Tag
- audio classification 4
- acoustic scene classification 3
- few-shot learning 2
- model compression and acceleration 1
- acoustic understanding 1
- self-supervised learning 1
- audio tagging 1
- cross-modality learning 1
audio classification
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
This paper is in peer review.
Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
This paper is accepted by IEEE Access.
Research on efficient acoustic scene recognition based on deep learning
The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.
acoustic scene classification
Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
This paper is accepted by IEEE Access.
Research on efficient acoustic scene recognition based on deep learning
The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.
Acoustic scene classification using deep cnn with fine-resolution feature
Accepted by Expert Systems with Applications.
few-shot learning
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
This paper is in peer review.
[Project launch] Everyday sound recognition with limited annotations
The goal is to explore general-proposed audio understanding in the limited annotations.
model compression and acceleration
Channel Compression: Rethinking Information Redundancy Among Channels in CNN Architecture
This paper is accepted by IEEE Access.
acoustic understanding
[Project launch] Everyday sound recognition with limited annotations
The goal is to explore general-proposed audio understanding in the limited annotations.
self-supervised learning
[Project launch] Everyday sound recognition with limited annotations
The goal is to explore general-proposed audio understanding in the limited annotations.
audio tagging
Learning from Taxonomy: Multi-label Few-shot Classification for Everyday Sound Recognition
This paper is in peer review.
cross-modality learning
Adapting Language-Audio Models as Few-Shot Audio Learners
This paper gets accepted by INTERSPEECH 2023.