6 citations · 8 across the 3 of their papers we have counts for
4 papers · 1 filter
S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification
Hang Zhao, Chen Zhang, Belei Zhu +2
In this paper, we propose S3T, a self-supervised pre-training method with Swin Transformer for music classification, aiming to learn meaningful music representations from massive e…
DenoiSpeech: Denoising Text to Speech with Frame-Level Noise Modeling
Chen Zhang, Yi Ren, Xu Tan +5
While neural-based text to speech (TTS) models can synthesize natural and intelligible voice, they usually require high-quality speech data, which is costly to collect. In many sce…
MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers
Yilun Zhao, Jia Guo
Music annotation has always been one of the critical topics in the field of Music Information Retrieval (MIR). Traditional models use supervised learning for music annotation tasks…
UWSpeech: Speech to Speech Translation for Unwritten Languages
Chen Zhang, Xu Tan, Yi Ren +3
Existing speech to speech translation systems heavily rely on the text of target language: they usually translate source language either to target text and then synthesize target s…