Browsing by Author "Miron, Marius"

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  • 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 ...
  • 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 ...
  • 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. ...
  • 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 ...
  • 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, ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • 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 ...
  • Chandna, Pritish; Miron, Marius; Janer Mestres, Jordi; Gómez Gutiérrez, Emilia, 1975- (Springer, 2017)
    In this paper we introduce a low-latency monaural source separation framework using a Convolutional Neural Network (CNN). We use a CNN to estimate time-frequency soft masks which are applied for source separation. We ...
  • Kim, Hyon; Miron, Marius; Serra, Xavier (2023-01-16)
    Piano is one of the most popular music instruments. During the piano performance, loudness is an important factor for expressiveness, alongside tempo, changes in dynamics play with expectation, convey various emotions, ...