Marco A. Martínez Ramírez

According to our database, Marco A. Martínez Ramírez authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Igor Gadelha, Geraldo Ramos, Eddie Hsu, Hugo Rodrigues, Fabian-Robert Stöter, Alexandre Défossez, Yi Luo, Jianwei Yu, Dipam Chakraborty, Sharada P. Mohanty, Roman A. Solovyev, Alexander L. Stempkovskiy, Tatiana Habruseva, Nabarun Goswami, Tatsuya Harada, Minseok Kim, Jun Hyung Lee, Yuanliang Dong, Xinran Zhang, Jiafeng Liu, Yuki Mitsufuji

Trans. Int. Soc. Music. Inf. Retr., January, 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, 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, Giorgio Fabbro, Yuki Mitsufuji

CoRR, 2024

GRAFX: An Open-Source Library for Audio Processing Graphs in PyTorch.

Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, 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, Marco A. Martínez Ramírez, Kin Wai Cheuk, Yuki Mitsufuji, Jyh-Shing Roger Jang, Yi-Hsuan Yang

CoRR, 2024

Searching For Music Mixing Graphs: A Pruning Approach.

Sungho Lee, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Giorgio Fabbro, Kyogu Lee, Yuki Mitsufuji

CoRR, 2024

Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning.

Yixiao Zhang, Yukara Ikemiya, Woosung Choi, Naoki Murata, Marco A. Martínez Ramírez, Liwei Lin, Gus Xia, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon

CoRR, 2024

MusicMagus: Zero-Shot Text-to-Music Editing via Diffusion Models.

Yixiao Zhang, Yukara Ikemiya, Gus Xia, Naoki Murata, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Yuki Mitsufuji, Simon Dixon

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2024

Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription.

Frank Cwitkowitz, Kin Wai Cheuk, Woosung Choi, Marco A. Martínez Ramírez, Keisuke Toyama, Wei-Hsiang Liao, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects.

Junghyun Koo, Marco A. Martínez Ramírez, Wei-Hsiang Liao, Stefan Uhlich, Kyogu Lee, Yuki Mitsufuji

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Automatic music mixing with deep learning and out-of-domain data.

Marco A. Martínez Ramírez, Wei-Hsiang Liao, Chihiro Nagashima, Giorgio Fabbro, Stefan Uhlich, Yuki Mitsufuji

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 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

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Automatic DJ Transitions with Differentiable Audio Effects and Generative Adversarial Networks.

Bo-Yu Chen, Wei-Han Hsu, Wei-Hsiang Liao, Marco A. Martínez Ramírez, Yuki Mitsufuji, Yi-Hsuan Yang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep learning for audio effects modeling.

Marco A. Martínez Ramírez

PhD thesis, 2021

AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries.

Woo-Sung Choi, Minseok Kim, Marco A. Martínez Ramírez, Jaehwa Chung, Soonyoung Jung

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Differentiable Signal Processing With Black-Box Audio Effects.

Marco A. Martínez Ramírez, Oliver Wang, Paris Smaragdis, Nicholas J. Bryan

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Modeling Plate and Spring Reverberation Using A DSP-Informed Deep Neural Network.

Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A general-purpose deep learning approach to model time-varying audio effects.

Marco A. Martínez Ramírez, Emmanouil Benetos, Joshua D. Reiss

CoRR, 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

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Modeling Nonlinear Audio Effects with End-to-end Deep Neural Networks.

Marco A. Martínez Ramírez, Joshua D. Reiss

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Stem audio mixing as a content-basec transformation of audio features.

Marco A. Martínez Ramírez, Joshua D. Reiss

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017