50 citations · 93 across the 8 of their papers we have counts for
8 papers
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…
TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method
Zeqian Ju, Peiling Lu, Xu Tan +7
Lyric-to-melody generation is an important task in automatic songwriting. Previous lyric-to-melody generation systems usually adopt end-to-end models that directly generate melodie…
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…
A Efficient Multimodal Framework for Large Scale Emotion Recognition by Fusing Music and Electrodermal Activity Signals
Guanghao Yin, Shouqian Sun, Dian Yu +2
Considerable attention has been paid for physiological signal-based emotion recognition in field of affective computing. For the reliability and user friendly acquisition, Electrod…
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…
User independent Emotion Recognition with Residual Signal-Image Network
Guanghao Yin, Shouqian Sun, Hui Zhang +4
User independent emotion recognition with large scale physiological signals is a tough problem. There exist many advanced methods but they are conducted under relatively small data…
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet
Xiao-gang Zhang, Shou-qian Sun, Ke-jun Zhang
Computation of semantic similarity between concepts is an important foundation for many research works. This paper focuses on IC computing methods and IC measures, which estimate t…