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20152023
most citedMidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation

293 citations · 1k across the 72 of their papers we have counts for

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Showing 2018 · cs.SDShow all

8 papers · 2 filters

cs.SD2018★ 3 cited

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

Szu-Yu Chou, Kai-Hsiang Cheng, Jyh-Shing Roger Jang +1

In this paper, we introduce a novel attentional similarity module for the problem of few-shot sound recognition. Given a few examples of an unseen sound event, a classifier must be…

cs.SD2018

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

Bryan Wang, Yi-Hsuan Yang

Music creation is typically composed of two parts: composing the musical score, and then performing the score with instruments to make sounds. While recent work has made much progr…

cs.SD2018★ 13 cited

Learning Disentangled Representations for Timber and Pitch in Music Audio

Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang

Timbre and pitch are the two main perceptual properties of musical sounds. Depending on the target applications, we sometimes prefer to focus on one of them, while reducing the eff…

cs.SD2018

Multitask learning for frame-level instrument recognition

Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang

For many music analysis problems, we need to know the presence of instruments for each time frame in a multi-instrument musical piece. However, such a frame-level instrument recogn…

cs.SD2018★ 4 cited

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

Hao-Min Liu, Yi-Hsuan Yang

Research on automatic music generation has seen great progress due to the development of deep neural networks. However, the generation of multi-instrument music of arbitrary genres…

cs.SD2018★ 14 cited

Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks

Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang +1

Can we make a famous rap singer like Eminem sing whatever our favorite song? Singing style transfer attempts to make this possible, by replacing the vocal of a song from the source…

cs.SD2018★ 8 cited

Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation

Jen-Yu Liu, Yi-Hsuan Yang

Convolutional neural networks with skip connections have shown good performance in music source separation. In this work, we propose a denoising Auto-encoder with Recurrent skip Co…

cs.SD2018★ 27 cited

Frame-level Instrument Recognition by Timbre and Pitch

Yun-Ning Hung, Yi-Hsuan Yang

Instrument recognition is a fundamental task in music information retrieval, yet little has been done to predict the presence of instruments in multi-instrument music for each time…