27 citations · 43 across the 9 of their papers we have counts for
Showing cs.SDShow all
3 papers · 1 filter
cs.SD2023★ 6 cited
WavJourney: Compositional Audio Creation with Large Language Models
Xubo Liu, Zhongkai Zhu, Haohe Liu +8
Despite breakthroughs in audio generation models, their capabilities are often confined to domain-specific conditions such as speech transcriptions and audio captions. However, rea…
cs.SD2023
Leveraging Pre-trained AudioLDM for Sound Generation: A Benchmark Study
Yi Yuan, Haohe Liu, Jinhua Liang +3
Deep neural networks have recently achieved breakthroughs in sound generation. Despite the outstanding sample quality, current sound generation models face issues on small-scale da…
cs.SD2022★ 2 cited
Learning from Taxonomy: Multi-label Few-Shot Classification for Everyday Sound Recognition
Jinhua Liang, Huy Phan, Emmanouil Benetos
Everyday sound recognition aims to infer types of sound events in audio streams. While many works succeeded in training models with high performance in a fully-supervised manner, t…