A deep learning approach to intelligent drum mixing with the Wave-U-Net Martínez-Ramírez M. A., Stoller D. and Moffat D., Journal of the Audio Engineering Society, vol. 69, no. 3, pp. 142-151, March 2021 [pdf|code|audio]
Automatic music mixing with deep learning and out-of-domain data Martínez-Ramírez M. A., Liao W., Fabbro G., Uhlich S., Nagashima C. and Mitsufuji Y., 23rd International Society for Music Information Retrieval Conference (ISMIR), Bangalore, India, December 2022. [url|page|code|audio|video]
Distortion audio effects: Learning how to recover the clean signal Imort J., Fabbro G., Martínez-Ramírez M. A., Uhlich S., Koyama Y. and Mitsufuji Y., 23rd International Society for Music Information Retrieval Conference (ISMIR), Bangalore, India, December 2022. [url|demo|audio]
Automatic DJ transitions with differentiable audio effects and generative adversarial networks Chen B., Hsu W., Liao W., Martínez-Ramírez M. A., Mitsufuji Y., Yang Y., IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Singapore, Singapore, May 2022. [url|audio]
Modeling plate and spring reverberation using a DSP-informed deep neural network Martínez-Ramírez M. A., Benetos E. and Reiss J. D., IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020. [url|code|dataset|audio|video]
A general-purpose deep learning approach to model time-varying audio effects Martínez-Ramírez M. A., Benetos E. and Reiss J. D., 22nd International Conference on Digital Audio Effects (DAFx-19), Birmingham, UK, September 2019. [url|audio]
Ensemble models for spoofing detection in automatic speaker verification Chettri B., Stoller D., Morfi V., Martínez-Ramírez M. A., Benetos E. and Sturm B. L., 20th Conference of the International Speech Communication Association (INTERSPEECH), Graz, Austria, September 2019. [url|code]
Modeling nonlinear audio effects with end-to-end deep neural networks Martínez-Ramírez M. A. and Reiss J. D., IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 2019. [url|audio]
End-to-end equalization with convolutional neural networks Martínez-Ramírez M. A. and Reiss J. D., 21st International Conference on Digital Audio Effects (DAFx-18), Aveiro, Portugal, September 2018. [url|audio|video]
Analysis and prediction of audio feature space when mixing raw recordings into individual stems Martínez-Ramírez M. A. and Reiss J. D., 143rd Audio Engineering Society Convention, New York, USA, October 2017. [pdf|url]
Stem audiomixing as a content-based transformation of audio features Martínez-Ramírez M. A. and Reiss J. D., IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, UK, October 2017. [url]
Deep learning and intelligent audio mixing Martínez-Ramírez M. A. and Reiss J. D., 3rd Workshop on Intelligent Music Production (WIMP), Salford, UK, September 2017. [url|poster]
Theses
Deep learning for audio effects modeling PhD Electronic Engineering Thesis, Queen Mary University of London, London, UK, 2020. Martínez-Ramírez M. A. [pdf]
Design and implementation of a parametric equalizer using IIR and FIR filters MSc Digital Signal Processing Thesis, The University of Manchester, Manchester, UK, 2013. Martínez-Ramírez M. A. [pdf]
Digital sound synthesis of wind instruments using the functional transformation method BSc Electronic Engineering Thesis, University of Los Andes, Bogotá, Colombia, 2011. Martínez-Ramírez M. A. [pdf]
ORCid
Marco Martínez 