293 citations · 1k across the 72 of their papers we have counts for
16 papers · 1 filter
Music Score Expansion with Variable-Length Infilling
Chih-Pin Tan, Chin-Jui Chang, Alvin W. Y. Su +1
In this paper, we investigate using the variable-length infilling (VLI) model, which is originally proposed to infill missing segments, to "prolong" existing musical segments at mu…
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer
Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow +2
Attention-based Transformer models have been increasingly employed for automatic music generation. To condition the generation process of such a model with a user-specified sequenc…
Learning To Generate Piano Music With Sustain Pedals
Joann Ching, Yi-Hsuan Yang
Recent years have witnessed a growing interest in research related to the detection of piano pedals from audio signals in the music information retrieval community. However, to our…
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
Wei-Han Hsu, Bo-Yu Chen, Yi-Hsuan Yang
Along with the evolution of music technology, a large number of styles, or "subgenres," of Electronic Dance Music(EDM) have emerged in recent years. While the classification task o…
KaraSinger: Score-Free Singing Voice Synthesis with VQ-VAE using Mel-spectrograms
Chien-Feng Liao, Jen-Yu Liu, Yi-Hsuan Yang
In this paper, we propose a novel neural network model called KaraSinger for a less-studied singing voice synthesis (SVS) task named score-free SVS, in which the prosody and melody…
Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks
Bo-Yu Chen, Wei-Han Hsu, Wei-Hsiang Liao +3
A central task of a Disc Jockey (DJ) is to create a mixset of mu-sic with seamless transitions between adjacent tracks. In this paper, we explore a data-driven approach that uses a…
Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding
Chin-Jui Chang, Chun-Yi Lee, Yi-Hsuan Yang
This paper proposes a new self-attention based model for music score infilling, i.e., to generate a polyphonic music sequence that fills in the gap between given past and future co…
EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation
Hsiao-Tzu Hung, Joann Ching, Seungheon Doh +3
While there are many music datasets with emotion labels in the literature, they cannot be used for research on symbolic-domain music analysis or generation, as there are usually au…
A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset
Tun-Min Hung, Bo-Yu Chen, Yen-Tung Yeh +1
This paper proposes a new benchmark task for generat-ing musical passages in the audio domain by using thedrum loops from the FreeSound Loop Dataset, which arepublicly re-distribut…
DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models
Pedro Sarmento, Adarsh Kumar, CJ Carr +3
Originating in the Renaissance and burgeoning in the digital era, tablatures are a commonly used music notation system which provides explicit representations of instrument fingeri…
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
Yi-Hui Chou, I-Chun Chen, Chin-Jui Chang +2
This article presents a benchmark study of symbolic piano music classification using the masked language modelling approach of the Bidirectional Encoder Representations from Transf…
Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao +3
Due to advances in deep learning, the performance of automatic beat and downbeat tracking in musical audio signals has seen great improvement in recent years. In training such deep…
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
Ching-Yu Chiu, Alvin Wen-Yu Su, Yi-Hsuan Yang
This paper presents a novel system architecture that integrates blind source separation with joint beat and downbeat tracking in musical audio signals. The source separation module…
Relative Positional Encoding for Transformers with Linear Complexity
Antoine Liutkus, Ondřej Cífka, Shih-Lun Wu +3
Recent advances in Transformer models allow for unprecedented sequence lengths, due to linear space and time complexity. In the meantime, relative positional encoding (RPE) was pro…
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE
Shih-Lun Wu, Yi-Hsuan Yang
Transformers and variational autoencoders (VAE) have been extensively employed for symbolic (e.g., MIDI) domain music generation. While the former boast an impressive capability in…
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh +1
To apply neural sequence models such as the Transformers to music generation tasks, one has to represent a piece of music by a sequence of tokens drawn from a finite set of pre-def…