M. M. Ramírez

DESIGN AND IMPLEMENTATION OF A PARAMETRIC EQUALIZER USING IIR AND FIR FILTERS

M. M. Ramírez, 2014 .

Analysis and Prediction of the Audio Feature Space when Mixing Raw Recordings into Individual Stems

J. Reiss, M. M. Ramírez, 2017 .

A Deep Learning Approach to Intelligent Drum Mixing With the Wave-U-Net

M. M. Ramírez, D. Moffat, D. Stoller, 2021, Journal of the Audio Engineering Society.

Ensemble Models for Spoofing Detection in Automatic Speaker Verification pdf

Bob L. Sturm, Emmanouil Benetos, Marco A. Martínez Ramírez, 2019, INTERSPEECH.

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

Joshua D. Reiss, Emmanouil Benetos, Marco A. Martínez Ramírez, 2019, ArXiv.

End-to-end equalization with convolutional neural networks

Marco A. Martínez Ramírez, Joshua D. Reiss, J. Reiss, 2018 .

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

Emmanouil Benetos, J. Reiss, M. M. Ramírez, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Joshua D. Reiss, Marco A. Martínez Ramírez, J. Reiss, 2017, 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).

Deep Learning for Black-Box Modeling of Audio Effects

Emmanouil Benetos, Marco A. Martínez Ramírez, Joshua D. Reiss, 2020, Applied Sciences.

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

M. M. Ramírez, Joshua D. Reiss, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).