b'Yi-Hsuan Yang'

research

∙ 08/20/2023

Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music

To model the periodicity of beats, state-of-the-art beat tracking system...

0 Ching-Yu Chiu, et al. ∙

research

∙ 10/13/2022

An Analysis Method for Metric-Level Switching in Beat Tracking

For expressive music, the tempo may change over time, posing challenges ...

0 Ching-Yu Chiu, et al. ∙

research

∙ 10/12/2022

JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VA

This paper proposes a model that generates a drum track in the audio dom...

0 Yueh-Kao Wu, et al. ∙

research

∙ 10/06/2022

Melody Infilling with User-Provided Structural Context

This paper proposes a novel Transformer-based model for music score infi...

0 Chih-Pin Tan, et al. ∙

research

∙ 09/17/2022

Compose Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach

Even with strong sequence models like Transformers, generating expressiv...

0 Shih-Lun Wu, et al. ∙

research

∙ 09/05/2022

Exploiting Pre-trained Feature Networks for Generative Adversarial Networks in Audio-domain Loop Generation

While generative adversarial networks (GANs) have been widely used in re...

0 Yen-Tung Yeh, et al. ∙

research

∙ 08/09/2022

DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation

A vocoder is a conditional audio generation model that converts acoustic...

0 Da-Yi Wu, et al. ∙

research

∙ 02/20/2022

towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model

In this paper, we propose a new dataset named EGDB, that con-tains trans...

1 Yu-Hua Chen, et al. ∙

research

∙ 11/11/2021

Music Score Expansion with Variable-Length Infilling

In this paper, we investigate using the variable-length infilling (VLI) ...

0 Chih-Pin Tan, et al. ∙

research

∙ 11/07/2021

Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer

Attention-based Transformer models have been increasingly employed for a...

0 Yi-Jen Shih, et al. ∙

research

∙ 11/01/2021

Learning To Generate Piano Music With Sustain Pedals

Recent years have witnessed a growing interest in research related to th...

0 Joann Ching, et al. ∙

research

∙ 10/17/2021

Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features

Along with the evolution of music technology, a large number of styles, ...

10 Wei-Han Hsu, et al. ∙

research

∙ 10/13/2021

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks

A central task of a Disc Jockey (DJ) is to create a mixset of mu-sic wit...

0 Bo-Yu Chen, et al. ∙

research

∙ 10/08/2021

KaraSinger: Score-Free Singing Voice Synthesis with VQ-VAE using Mel-spectrograms

In this paper, we propose a novel neural network model called KaraSinger...

0 Chien-Feng Liao, et al. ∙

research

∙ 08/11/2021

Variable-Length Music Score Infilling via XLNet and Musically Specialized Positional Encoding

This paper proposes a new self-attention based model for music score inf...

0 Chin-Jui Chang, et al. ∙

research

∙ 08/03/2021

A Benchmarking Initiative for Audio-Domain Music Generation Using the Freesound Loop Dataset

This paper proposes a new benchmark task for generat-ing musical passage...

0 Tun-Min Hung, et al. ∙

research

∙ 08/03/2021

EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

While there are many music datasets with emotion labels in the literatur...

0 Hsiao-Tzu Hung, et al. ∙

research

∙ 07/30/2021

DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models

Originating in the Renaissance and burgeoning in the digital era, tablat...

11 Pedro Sarmento, et al. ∙

research

∙ 07/12/2021

MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding

This paper presents an attempt to employ the mask language modeling appr...

18 Yi-Hui Chou, et al. ∙

research

∙ 06/16/2021

Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking

Due to advances in deep learning, the performance of automatic beat and ...

0 Ching-Yu Chiu, et al. ∙

research

∙ 06/16/2021

Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking

This paper presents a novel system architecture that integrates blind so...

0 Ching-Yu Chiu, et al. ∙

research

∙ 05/18/2021

Relative Positional Encoding for Transformers with Linear Complexity

Recent advances in Transformer models allow for unprecedented sequence l...

0 Antoine Liutkus, et al. ∙

research

∙ 05/10/2021

MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with One Transformer VAE

Transformers and variational autoencoders (VAE) have been extensively em...

0 Shih-Lun Wu, et al. ∙

research

∙ 01/07/2021

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

To apply neural sequence models such as the Transformers to music genera...

0 Wen-Yi Hsiao, et al. ∙

research

∙ 08/26/2020

The Freesound Loop Dataset and Annotation Tool

Music loops are essential ingredients in electronic music production, an...

0 António Ramires, et al. ∙

research

∙ 08/24/2020

A Computational Analysis of Real-World DJ Mixes using Mix-To-Track Subsequence Alignment

A DJ mix is a sequence of music tracks concatenated seamlessly, typicall...

0 Taejun Kim, et al. ∙

research

∙ 08/06/2020

Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation

Blind music source separation has been a popular and active subject of r...

0 Ching-Yu Chiu, et al. ∙

research

∙ 08/05/2020

Neural Loop Combiner: Neural Network Models for Assessing the Compatibility of Loops

Music producers who use loops may have access to thousands in loop libra...

0 Bo-Yu Chen, et al. ∙

research

∙ 08/04/2020

Automatic Composition of Guitar Tabs by Transformers and Groove Modeling

Deep learning algorithms are increasingly developed for learning to comp...

0 Yu-Hua Chen, et al. ∙

research

∙ 08/04/2020

The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures

This paper presents the Jazz Transformer, a generative model that utiliz...

11 Shih-Lun Wu, et al. ∙

research

∙ 05/28/2020

Speech-to-Singing Conversion based on Boundary Equilibrium GAN

This paper investigates the use of generative adversarial network (GAN)-...

0 Da-Yi Wu, et al. ∙

research

∙ 05/18/2020

Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization

In a recent paper, we have presented a generative adversarial network (G...

0 Jen-Yu Liu, et al. ∙

research

∙ 02/20/2020

A Comparative Study of Western and Chinese Classical Music based on Soundscape Models

Whether literally or suggestively, the concept of soundscape is alluded ...

0 Jianyu Fan, et al. ∙

research

∙ 02/17/2020

Addressing the confounds of accompaniments in singer identification

Identifying singers is an important task with many applications. However...

0 Tsung-Han Hsieh, et al. ∙

research

∙ 02/16/2020

Speech-to-Singing Conversion in an Encoder-Decoder Framework

In this paper our goal is to convert a set of spoken lines into sung one...

0 Jayneel Parekh, et al. ∙

research

∙ 02/01/2020

Pop Music Transformer: Generating Music with Rhythm and Harmony

The task automatic music composition entails generative modeling of musi...

19 Yu-Siang Huang, et al. ∙

research

∙ 01/08/2020

Automatic Melody Harmonization with Triad Chords: A Comparative Study

Several prior works have proposed various methods for the task of automa...

0 Yin-Cheng Yeh, et al. ∙

research

∙ 12/26/2019

Score and Lyrics-Free Singing Voice Generation

Generative models for singing voice have been mostly concerned with the ...

0 Jen-Yu Liu, et al. ∙

research

∙ 08/26/2019

Improving Automatic Jazz Melody Generation by Transfer Learning Techniques

In this paper, we tackle the problem of transfer learning for Jazz autom...

0 Hsiao-Tzu Hung, et al. ∙

research

∙ 06/04/2019

Dilated Convolution with Dilated GRU for Music Source Separation

Stacked dilated convolutions used in Wavenet have been shown effective f...

0 Jen-Yu Liu, et al. ∙

research

∙ 05/30/2019

Musical Composition Style Transfer via Disentangled Timbre Representations

Music creation involves not only composing the different parts (e.g., me...

0 Yun-Ning Hung, et al. ∙

research

∙ 05/28/2019

Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation

We present in this paper PerformacnceNet, a neural network model we prop...

0 Yu-Hua Chen, et al. ∙

research

∙ 02/17/2019

Collaborative Similarity Embedding for Recommender Systems

We present collaborative similarity embedding (CSE), a unified framework...

0 Chih-Ming Chen, et al. ∙

research

∙ 02/11/2019

A Minimal Template for Interactive Web-based Demonstrations of Musical Machine Learning

New machine learning algorithms are being developed to solve problems in...

0 Vibert Thio, et al. ∙

research

∙ 01/25/2019

Towards a Deeper Understanding of Adversarial Losses

Recent work has proposed various adversarial losses for training generat...

46 Hao-Wen Dong, et al. ∙

research

∙ 12/04/2018

Learning to match transient sound events using attentional similarity for few-shot sound recognition

In this paper, we introduce a novel attentional similarity module for th...

0 Szu-Yu Chou, et al. ∙

research

∙ 11/11/2018

PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network

Music creation is typically composed of two parts: composing the musical...

0 Bryan Wang, et al. ∙

research

∙ 11/08/2018

Learning Disentangled Representations for Timber and Pitch in Music Audio

Timbre and pitch are the two main perceptual properties of musical sound...

0 Yun-Ning Hung, et al. ∙

research

∙ 11/03/2018

Multitask learning for frame-level instrument recognition

For many music analysis problems, we need to know the presence of instru...

0 Yun-Ning Hung, et al. ∙

research

∙ 10/30/2018

A Streamlined Encoder/Decoder Architecture for Melody Extraction

Melody extraction in polyphonic musical audio is important for music sig...

0 Tsung-Han Hsieh, et al. ∙

Yi-Hsuan Yang

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