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20192022
most citedImproving the Performance of Automated Audio Captioning via Integrating the Acoustic and Semantic Information

11 citations · 26 across the 10 of their papers we have counts for

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8 papers · 1 filter

cs.SD20221 cited

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS

Dongchao Yang, Songxiang Liu, Jianwei Yu +3

Expressive text-to-speech (TTS) can synthesize a new speaking style by imiating prosody and timbre from a reference audio, which faces the following challenges: (1) The highly dyna…

cs.SD20221 cited

Masked Spectrogram Prediction For Self-Supervised Audio Pre-Training

Dading Chong, Helin Wang, Peilin Zhou +1

Transformer-based models attain excellent results and generalize well when trained on sufficient amounts of data. However, constrained by the limited data available in the audio do…

cs.SD2022

RaDur: A Reference-aware and Duration-robust Network for Target Sound Detection

Dongchao Yang, Helin Wang, Zhongjie Ye +2

Target sound detection (TSD) aims to detect the target sound from a mixture audio given the reference information. Previous methods use a conditional network to extract a sound-dis…

cs.SD2022

Improving Target Sound Extraction with Timestamp Information

Helin Wang, Dongchao Yang, Chao Weng +2

Target sound extraction (TSE) aims to extract the sound part of a target sound event class from a mixture audio with multiple sound events. The previous works mainly focus on the p…

cs.SD202111 cited

Improving the Performance of Automated Audio Captioning via Integrating the Acoustic and Semantic Information

Zhongjie Ye, Helin Wang, Dongchao Yang +1

Automated audio captioning (AAC) has developed rapidly in recent years, involving acoustic signal processing and natural language processing to generate human-readable sentences fo…

cs.SD20211 cited

Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification

Dongchao Yang, Helin Wang, Yuexian Zou

It is well known that the mismatch between training (source) and test (target) data distribution will significantly decrease the performance of acoustic scene classification (ASC)…