542 citations · 1.5k across the 44 of their papers we have counts for
10 papers · 1 filter
Large-Scale MIDI-based Composer Classification
Qiuqiang Kong, Keunwoo Choi, Yuxuan Wang
Music classification is a task to classify a music piece into labels such as genres or composers. We propose large-scale MIDI based composer classification systems using GiantMIDI-…
GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
Qiuqiang Kong, Bochen Li, Jitong Chen +1
Symbolic music datasets are important for music information retrieval and musical analysis. However, there is a lack of large-scale symbolic datasets for classical piano music. In…
High-resolution Piano Transcription with Pedals by Regressing Onset and Offset Times
Qiuqiang Kong, Bochen Li, Xuchen Song +2
Automatic music transcription (AMT) is the task of transcribing audio recordings into symbolic representations. Recently, neural network-based methods have been applied to AMT, and…
Xiaomingbot: A Multilingual Robot News Reporter
Runxin Xu, Jun Cao, Mingxuan Wang +10
This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translat…
Improving Accent Conversion with Reference Encoder and End-To-End Text-To-Speech
Wenjie Li, Benlai Tang, Xiang Yin +6
Accent conversion (AC) transforms a non-native speaker's accent into a native accent while maintaining the speaker's voice timbre. In this paper, we propose approaches to improving…
Noise Robust TTS for Low Resource Speakers using Pre-trained Model and Speech Enhancement
Dongyang Dai, Li Chen, Yuping Wang +5
With the popularity of deep neural network, speech synthesis task has achieved significant improvements based on the end-to-end encoder-decoder framework in the recent days. More a…
Review of Text Style Transfer Based on Deep Learning
Xiangyang Li, Guo Pu, Keyu Ming +3
Text style transfer is a hot issue in recent natural language processing,which mainly studies the text to adapt to different specific situations, audiences and purposes by making s…
Adversarial Feature Learning and Unsupervised Clustering based Speech Synthesis for Found Data with Acoustic and Textual Noise
Shan Yang, Yuxuan Wang, Lei Xie
Attention-based sequence-to-sequence (seq2seq) speech synthesis has achieved extraordinary performance. But a studio-quality corpus with manual transcription is necessary to train…
ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders
Yu Gu, Xiang Yin, Yonghui Rao +6
This paper presents ByteSing, a Chinese singing voice synthesis (SVS) system based on duration allocated Tacotron-like acoustic models and WaveRNN neural vocoders. Different from t…
Source separation with weakly labelled data: An approach to computational auditory scene analysis
Qiuqiang Kong, Yuxuan Wang, Xuchen Song +3
Source separation is the task to separate an audio recording into individual sound sources. Source separation is fundamental for computational auditory scene analysis. Previous wor…