149 citations · 198 across the 11 of their papers we have counts for
11 papers
PyNeuralFx: A Python Package for Neural Audio Effect Modeling
Yen-Tung Yeh, Wen-Yi Hsiao, Yi-Hsuan Yang
We present PyNeuralFx, an open-source Python toolkit designed for research on neural audio effect modeling. The toolkit provides an intuitive framework and offers a comprehensive s…
Hyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling
Yen-Tung Yeh, Wen-Yi Hsiao, Yi-Hsuan Yang
Recurrent neural networks (RNNs) have demonstrated impressive results for virtual analog modeling of audio effects. These networks process time-domain audio signals using a series…
MusiConGen: Rhythm and Chord Control for Transformer-Based Text-to-Music Generation
Yun-Han Lan, Wen-Yi Hsiao, Hao-Chung Cheng +1
Existing text-to-music models can produce high-quality audio with great diversity. However, textual prompts alone cannot precisely control temporal musical features such as chords…
DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation
Da-Yi Wu, Wen-Yi Hsiao, Fu-Rong Yang +5
A vocoder is a conditional audio generation model that converts acoustic features such as mel-spectrograms into waveforms. Taking inspiration from Differentiable Digital Signal Pro…
towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model
Yu-Hua Chen, Wen-Yi Hsiao, Tsu-Kuang Hsieh +2
In this paper, we propose a new dataset named EGDB, that con-tains transcriptions of the electric guitar performance of 240 tab-latures rendered with different tones. Moreover, we…
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…
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…
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh +2
Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities. To counter the lack of av…
Automatic Composition of Guitar Tabs by Transformers and Groove Modeling
Yu-Hua Chen, Yu-Hsiang Huang, Wen-Yi Hsiao +1
Deep learning algorithms are increasingly developed for learning to compose music in the form of MIDI files. However, whether such algorithms work well for composing guitar tabs, w…
Automatic Melody Harmonization with Triad Chords: A Comparative Study
Yin-Cheng Yeh, Wen-Yi Hsiao, Satoru Fukayama +7
Several prior works have proposed various methods for the task of automatic melody harmonization, in which a model aims to generate a sequence of chords to serve as the harmonic ac…
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed…