Stem audio mixing as a content-basec transformation of audio features. - Marco A. Martínez Ramírez; Joshua D. Reiss (MMSP, 2017)

Modeling Nonlinear Audio Effects with End-to-end Deep Neural Networks. - Marco A. Martínez Ramírez; Joshua D. Reiss (ICASSP, 2019)

Ensemble Models for Spoofing Detection in Automatic Speaker Verification. - Bhusan Chettri; Daniel Stoller; Veronica Morfi; Marco A. Martínez Ramírez; Emmanouil Benetos; Bob L. Sturm (INTERSPEECH, 2019)

A general-purpose deep learning approach to model time-varying audio effects. - Marco A. Martínez Ramírez; Emmanouil Benetos; Joshua D. Reiss (CoRR, 2019)

Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network. - Marco A. Martínez Ramírez; Emmanouil Benetos; Joshua D. Reiss (ICASSP, 2020)

Differentiable Signal Processing With Black-Box Audio Effects. - Marco A. Martínez Ramírez; Oliver Wang; Paris Smaragdis; Nicholas J. Bryan (ICASSP, 2021)

AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries. - Woo-Sung Choi 001; Minseok Kim 003; Marco A. Martínez Ramírez; Jaehwa Chung; Soonyoung Jung (ACM Multimedia, 2021)

Deep learning for audio effects modeling. - Marco A. Martínez Ramírez (2021)

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks. - Bo-Yu Chen; Wei-Han Hsu; Wei-Hsiang Liao 001; Marco A. Martínez Ramírez; Yuki Mitsufuji; Yi-Hsuan Yang (ICASSP, 2022)

Distortion Audio Effects: Learning How to Recover the Clean Signal. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (ISMIR, 2022)

Automatic music mixing with deep learning and out-of-domain data. - Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Chihiro Nagashima; Giorgio Fabbro; Stefan Uhlich; Yuki Mitsufuji (ISMIR, 2022)

Removing Distortion Effects in Music Using Deep Neural Networks. - Johannes Imort; Giorgio Fabbro; Marco A. Martínez Ramírez; Stefan Uhlich; Yuichiro Koyama; Yuki Mitsufuji (CoRR, 2022)

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Kyogu Lee; Yuki Mitsufuji (ICASSP, 2023)

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription. - Frank Cwitkowitz; Kin Wai Cheuk; Woosung Choi; Marco A. Martínez Ramírez; Keisuke Toyama 002; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2024)

VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance. - Carlos Hernandez-Olivan; Koichi Saito; Naoki Murata; Chieh-Hsin Lai; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2024)

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models. - Yixiao Zhang 002; Yukara Ikemiya; Gus Xia; Naoki Murata; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Yuki Mitsufuji; Simon Dixon (IJCAI, 2024)

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning. - Yixiao Zhang 002; Yukara Ikemiya; Woosung Choi; Naoki Murata; Marco A. Martínez Ramírez; Liwei Lin; Gus Xia; Wei-Hsiang Liao 001; Yuki Mitsufuji; Simon Dixon (CoRR, 2024)

Searching For Music Mixing Graphs: A Pruning Approach. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

Improving Unsupervised Clean-to-Rendered Guitar Tone Transformation Using GANs and Integrated Unaligned Clean Data. - Yu-Hua Chen; Woosung Choi; Wei-Hsiang Liao 001; Marco A. Martínez Ramírez; Kin Wai Cheuk; Yuki Mitsufuji; Jyh-Shing Roger Jang; Yi-Hsuan Yang (CoRR, 2024)

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch. - Sungho Lee; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Stefan Uhlich; Giorgio Fabbro; Kyogu Lee; Yuki Mitsufuji (CoRR, 2024)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (CoRR, 2024)

VRVQ: Variable Bitrate Residual Vector Quantization for Audio Compression. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2024)

The Sound Demixing Challenge 2023 - Music Demixing Track. - Giorgio Fabbro; Stefan Uhlich; Chieh-Hsin Lai; Woosung Choi; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Igor Gadelha; Geraldo Ramos; Eddie Hsu; Hugo Rodrigues; Fabian-Robert Stöter; Alexandre Défossez; et al. (Trans. Int. Soc. Music. Inf. Retr., 2024)

Variable Bitrate Residual Vector Quantization for Audio Coding. - Yunkee Chae; Woosung Choi; Yuhta Takida; Junghyun Koo; Yukara Ikemiya; Zhi Zhong; Kin Wai Cheuk; Marco A. Martínez Ramírez; Kyogu Lee; Wei-Hsiang Liao 001; Yuki Mitsufuji (ICASSP, 2025)

Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer. - Michele Mancusi; Yurii Halychanskyi; Kin Wai Cheuk; Eloi Moliner; Chieh-Hsin Lai; Stefan Uhlich; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Yuki Mitsufuji (ICASSP, 2025)

Music Foundation Model as Generic Booster for Music Downstream Tasks. - Wei-Hsiang Liao 001; Yuhta Takida; Yukara Ikemiya; Zhi Zhong; Chieh-Hsin Lai; Giorgio Fabbro; Kazuki Shimada; Keisuke Toyama 002; Kin Wai Cheuk; Marco A. Martínez Ramírez; Shusuke Takahashi; Stefan Uhlich; et al. (Trans. Mach. Learn. Res., 2025)

DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions. - Chin-Yun Yu; Marco A. Martínez Ramírez; Junghyun Koo; Ben Hayes; Wei-Hsiang Liao 001; György Fazekas; Yuki Mitsufuji (CoRR, 2025)

Improving Inference-Time Optimisation for Vocal Effects Style Transfer with a Gaussian Prior. - Chin-Yun Yu; Marco A. Martínez Ramírez; Junghyun Koo; Wei-Hsiang Liao 001; Yuki Mitsufuji; György Fazekas (CoRR, 2025)

Can Large Language Models Predict Audio Effects Parameters from Natural Language? - Seungheon Doh; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Juhan Nam; Yuki Mitsufuji (CoRR, 2025)

ITO-Master: Inference-Time Optimization for Audio Effects Modeling of Music Mastering Processors. - Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Giorgio Fabbro; Michele Mancusi; Yuki Mitsufuji (CoRR, 2025)

Large-Scale Training Data Attribution for Music Generative Models via Unlearning. - Woosung Choi; Junghyun Koo; Kin Wai Cheuk; Joan Serrà; Marco A. Martínez Ramírez; Yukara Ikemiya; Naoki Murata; Yuhta Takida; Wei-Hsiang Liao 001; Yuki Mitsufuji (CoRR, 2025)

Fx-Encoder++: Extracting Instrument-Wise Audio Effects Representations from Mixtures. - Yen-Tung Yeh; Junghyun Koo; Marco A. Martínez Ramírez; Wei-Hsiang Liao 001; Yi-Hsuan Yang; Yuki Mitsufuji (CoRR, 2025)