Adapting Language-Audio Models as Few-Shot Audio Learners
This paper gets accepted by INTERSPEECH 2023.
This paper gets accepted by INTERSPEECH 2023.
This paper is in peer review.
The goal is to explore general-proposed audio understanding in the limited annotations.
This paper is accepted by IEEE Access.
The goal is to explore high-performance acoustic scene classification (ASC) technologies at a low computational cost.
Accepted by Expert Systems with Applications.