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20242026
most citedHyper Recurrent Neural Network: Condition Mechanisms for Black-box Audio Effect Modeling

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

cs.SD2026

Separate-and-Detect: Unified Drum Transcription and Stem Generation via Latent Diffusion

Wei-Han Hsu, Chih-Cheng Chang, Bo-Yu Chen +2

Automatic Drum Transcription (ADT) is commonly formulated as a direct mapping from a music mixture to symbolic drum events. While effective for transcription, this formulation disc…

eess.AS2025

SynthCloner: Synthesizer-style Audio Transfer via Factorized Codec with ADSR Envelope Control

Jeng-Yue Liu, Ting-Chao Hsu, Yen-Tung Yeh +2

Electronic synthesizer sounds are controlled by parameter settings that yield complex timbral characteristics and ADSR envelopes, making synthesizer-style audio transfer particular…

cs.SD2025

Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures

Yen-Tung Yeh, Junghyun Koo, Marco A. Martínez-Ramírez +3

General-purpose audio representations have proven effective across diverse music information retrieval applications, yet their utility in intelligent music production remains limit…

cs.SD2024

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…

cs.SD2024★ 1 cited

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…