33 citations · 92 across the 22 of their papers we have counts for
7 papers · 1 filter
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…
Diffsound: Discrete Diffusion Model for Text-to-sound Generation
Dongchao Yang, Jianwei Yu, Helin Wang +4
Generating sound effects that humans want is an important topic. However, there are few studies in this area for sound generation. In this study, we investigate generating sound co…
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection
Peilin Zhou, Dading Chong, Helin Wang +1
The past ten years have witnessed the rapid development of text-based intent detection, whose benchmark performances have already been taken to a remarkable level by deep learning…
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…
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…
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…