Browsing by Author "Miron, Marius"

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  • A diffusion-inspired training strategy for singing voice extraction in the waveform domain
    Plaja-Roglans, Genís; Miron, Marius; Serra, Xavier (2022-09-22)
    Notable progress in music source separation has been achieved using multi-branch networks that operate on both temporal and spectral domains. However, such networks tend to be complex and heavy-weighted. In this work, we ...
  • A diffusion-inspired training strategy for singing voice extraction in the waveform domain
    Plaja-Roglans, Genís; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)
    Notable progress in music source separation has been achieved using multi-branch networks that operate on both temporal and spectral domains. However, such networks tend to be complex and heavy-weighted. In this work, we ...
  • An Interpretable deep learning model for automatic sound classification
    Zinemanas, Pablo; Rocamora, Martín; Miron, Marius; Font Corbera, Frederic; Serra, Xavier (MDPI, 2021)
    Deep learning models have improved cutting-edge technologies in many research areas, but their black-box structure makes it difficult to understand their inner workings and the rationale behind their predictions. This may ...
  • An overview of automatic piano performance assessment within the music education context
    Kim, Hyon; Ramoneda, Pedro; Miron, Marius; Serra, Xavier (SCITEPRESS – Science and Technology Publications, 2022)
    Piano is one of the most popular instruments among music learners. Technologies to evaluate piano performances have been researched and developed in recent years rapidly, including data driven methods using machine learning. ...
  • Analysis of musical dynamics in vocal performances
    Narang, Jyoti; Miron, Marius; Lizarraga Seijas, Xavier; Serra, Xavier (Les éditions de PRISM, 2021)
    Dynamics are one of the fundamental tools of expressivity in a performance. While the usage of this tool is highly subjective, a systematic methodology to derive loudness markings based on a performance can be highly ...
  • Analysis of musical dynamics in vocal performances using loudness measures
    Narang, Jyoti; Miron, Marius; Srinivasamurthy, Ajay; Serra, Xavier (DAFx, 2022)
    In addition to tone, pitch and rhythm, dynamics is one of the expressive dimensions of the performance of a music piece that has received limited attention. While the usage of dynamics may vary from artist to artist, ...
  • Assessing algorithmic biases for musical version identification
    Yesiler, Furkan; Serrà, Joan; Miron, Marius; Gómez Gutiérrez, Emilia, 1975- (ACM Association for Computer Machinery, 2022)
    Version identification (VI) systems now offer accurate and scalable solutions for detecting different renditions of a musical composition, allowing the use of these systems in industrial applications and throughout the ...
  • Assessing the tuning of sung indian classical music
    Serrà Julià, Joan; Koduri, Gopala Krishna; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2011)
    The issue of tuning in Indian classical music has been, historically,/na matter of theoretical debate. In this paper, we/nstudy its contemporary practice in sung performances of Carnatic/nand Hindustani music following an ...
  • Automatic piano fingering from partially annotated scores using autoregressive neural networks
    Ramoneda, Pedro; Jeong, Dasaem; Nakamura, Eita; Serra, Xavier; Miron, Marius (ACM Association for Computer Machinery, 2022)
    Piano fingering is a creative and highly individualised task acquired by musicians progressively in their first music education years. Pianists must learn to choose the order of fingers to play the piano keys because ...
  • BAF: an audio fingerprinting dataset for broadcast monitoring
    Cortès, Guillem; Ciurana, Alex; Molina, Emilio; Miron, Marius; Meyers, Owen; Six, Joren; Serra, Xavier (2022-09-21)
    Audio Fingerprinting (AFP) is a well-studied problem in music information retrieval for various use-cases e.g. content-based copy detection, DJ-set monitoring, and music excerpt identification. However, AFP for ...
  • BAF: an audio fingerprinting dataset for broadcast monitoring
    Cortès, Guillem; Ciurana, Alex; Molina, Emilio; Miron, Marius; Meyers, Owen; Six, Joren; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2022)
    Audio Fingerprinting (AFP) is a well-studied problem in music information retrieval for various use-cases e.g. content-based copy detection, DJ-set monitoring, and music excerpt identification. However, AFP for continuous ...
  • Computational approaches for the understanding of melody in carnatic music
    Koduri, Gopala Krishna; Miron, Marius; Serrà Julià, Joan; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2011)
    The classical music traditions of the Indian subcontinent,/nHindustani and Carnatic, offer an excellent ground on which/nto test the limitations of current music information research/napproaches. At the same time, studies ...
  • Data augmentation for deep learning source separation of HipHop songs
    Martel Baro, Héctor; Miron, Marius (2017)
    Training deep learning source separation methods involves computationally intensive procedures relying on large multi-track datasets. In this paper we use data augmentation to improve hip hop source sepa- ration using small ...
  • Evaluating causes of algorithmic bias in juvenile criminal recidivism
    Miron, Marius; Tolan, Songül; Gómez Gutiérrez, Emilia, 1975-; Castillo, Carlos (Springer, 2020)
    In this paper we investigate risk prediction of criminal re-offense among juvenile defendants using general-purpose machine learning (ML) algorithms. We show that in our dataset, containing hundreds of cases, ML models ...
  • Generating data to train convolutional neural networks for classical music source separation
    Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (Aalto University, 2017)
    Deep learning approaches have become increasingly popular in estimating time-frequency masks for audio source separation. However, training neural networks usually requires a considerable amount of data. Music data is ...
  • Immersive orchestras: Audio processing for orchestral music VR content
    Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975-; Martorell Domínguez, Agustín; Miron, Marius; de Wit, Benjamin (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    This paper combines Audio Signal Processing and Virtual Reality (VR) content to create novel immersive experiences for orchestral music audiences. In VR, the auralization of sound sources of recorded live content remains ...
  • Improving score-informed source separation for classical music through note refinement
    Miron, Marius; Carabias Orti, Julio J.; Janer Mestres, Jordi (International Society for Music Information Retrieval (ISMIR), 2015)
    Signal decomposition methods such as Non-negative Matrix Factorization (NMF) demonstrated to be a suitable approach for music signal processing applications, including sound source separation. To better control this ...
  • Lyrics to audio alignment for karaoke in pop music
    Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    In this paper we describe an algorithm for automatic lyricsto-audio alignment. It has as a goal the automatic detection of word boundaries in multi-instrumental English pop songs. We rely on a phonetic recognizer based on ...
  • Lyrics to audio alignment in polyphonic audio
    Dzhambazov, Georgi Bogomilov; Miron, Marius; Serra, Xavier (International Society for Music Information Retrieval (ISMIR), 2016)
    In this paper we describe the two algorithms we submitted for the MIREX 2017 task of Automatic Lyrics-to-Audio Alignment. The task has as a goal the automatic detection of word boundaries in multi-instrumental English pop ...
  • Monaural score-informed source separation for classical music using convolutional neural networks
    Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (International Society for Music Information Retrieval (ISMIR), 2017)
    Score information has been shown to improve music source separation when included into non-negative matrix factorization (NMF) frameworks. Recently, deep learning approaches have outperformed NMF methods in terms of ...