27 citations · 43 across the 9 of their papers we have counts for
5 papers · 1 filter
AudioMorphix: Training-free audio editing with diffusion probabilistic models
Jinhua Liang, Yuanzhe Chen, Yi Yuan +5
Editing sound with precision is a crucial yet underexplored challenge in audio content creation. While existing works can manipulate sounds by text instructions or audio exemplar p…
Mind the Domain Gap: a Systematic Analysis on Bioacoustic Sound Event Detection
Jinhua Liang, Ines Nolasco, Burooj Ghani +3
Detecting the presence of animal vocalisations in nature is essential to study animal populations and their behaviors. A recent development in the field is the introduction of the…
WavCraft: Audio Editing and Generation with Large Language Models
Jinhua Liang, Huan Zhang, Haohe Liu +7
We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing. Specifically,…
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
Jinhua Liang, Xubo Liu, Wenwu Wang +3
The auditory system plays a substantial role in shaping the overall human perceptual experience. While prevailing large language models (LLMs) and visual language models (VLMs) hav…
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…