Published in Proceedings of the 22nd Sound and Music Computing Conference, 2025
Audio-to-score alignment based on iterative alignment of discrete events
Recommended citation: Perez, Miguel & Kirchhoff, Holger & Grosche, Peter & Serra, Xavier (2025) "Refining audio-to-score alignment for singing voice transcription" Proceedings of the 22nd Sound and Music Computing Conference, Graz (Austria). https://zenodo.org/records/15838731
Published in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, 2025
Data augmentation for singing voice-related tasks with music-realistic scenarios through AI-generated music accompaniments.
Recommended citation: Perez, Miguel & Kirchhoff, Holger & Grosche, Peter & Serra, Xavier (2025) "Singing Voice Accompaniment Data Augmentation with Generative Models" 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Hyderabad, India, 2025, pp. 1-5. https://ieeexplore.ieee.org/document/11011167
Published in Proceedings of the 31st Conference of Multimedia Modeling, 2025
Data augmentation for singing voice-related tasks with music-realistic scenarios through AI-generated music accompaniments.
Recommended citation: Perez, Miguel & Kirchhoff, Holger & Grosche, Peter & Serra, Xavier (2025) "Improving singing voice transcription generalization with AI-generated accompaniments " Proceedings of the 31st conference of Multimedia Modeling, Nara (Japan). https://link.springer.com/chapter/10.1007/978-981-96-2061-6_9
Published in Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023
In this paper we present a novel architecture capable of capturing the harmonic series using 3D convolutions
Recommended citation: Perez, Miguel & Kirchhoff, Holger & Serra, Xavier (2023). "TriAD: Capturing harmonics with 3D convolutions." Proceedings of the 24th Int. Society for Music Information Retrieval Conference, Milan (Italy). http://ismir2023program.ismir.net/poster_11.html
Published in Proceedings of the 19th Sound and Music Computing Conference, 2022
A paper in which we compare qualitative the behaviour of different chroma algorithms, be these based on deep learning or signal processing techniques.
Recommended citation: Perez, Miguel & Kirchhoff, Holger & Serra, Xavier (2022) "A Comparison of Pitch Chroma Extraction Algorithms " Proceedings of the 19th Sound and Music Computing Conference, Saint-Étienne (France). https://zenodo.org/records/6573083
Published in Pompeu Fabra University master thesis, 2020
Comparison of different techniques methods to asses the compatibility of different electronic music loops
Recommended citation: Perez, Miguel & Ramires, António & Correya, Albin & Font, Frederic (2020). " Harmonic Compatibility for Loops in Electronic Music " master thesis, Universitat Pompeu Fabra. https://zenodo.org/records/4091438
Published in university of Seville bachelor thesis, 2018
Music genre classification using machine learning techniques
Recommended citation: Perez, Miguel & Sarmiento Vega, María Auxiliadora & Fondón García, Irene (2018). " Clasificación de géneros musicales mediante técnicas de aprendizaje automático " Bachelor Thesis, Universtiy of Seville. https://hdl.handle.net/11441/85556