• DiffVel: note-level MIDI velocity estimation for piano performance by a double conditioned diffusion model

  Kim, Hyon; Serra, Xavier (2023-08-31)

  In any piano performance, expressiveness is paramount for effectively conveying the intent of the performer, and one of the most significant aspects of expressiveness is the loudness at the individual key or note level. ...
• Com ho avaluem? Repensem la universitat: impacte de la intel·ligència artificial (IA) en l’aprenentatge

  Hernández Leo, Davinia (2023-07-17)

  Quin impacte té la Intel·ligència Artificial (IA) en l’avaluació. Com hem d’adaptar els mètodes d’avaluació per tal que segueixin essent efectius i, a més, posin a prova les competències relacionades amb l’ús de la IA
• Score-Informed MIDI Velocity Estimation for Piano Performance by FiLM Conditioning

  Kim, Hyon; Miron, Marius; Serra, Xavier (2023-05-12)

  Piano is one of the most popular instruments among people that learn to play music. When playing the piano, the level of loudness is crucial for expressing emotions as well as manipulating tempo. These elements convey ...
• TAPE: An End-to-End Timbre-Aware Pitch Estimator

  Tamer, Nazif C; Özer, Yigitcan; Müller, Meinard; Serra, Xavier (2023-04-25)

  Pitch estimation of a target musical source within a multi-source polyphonic signal is of great interest for music performance analysis. One possible approach for extracting the pitch of a target source is to first perform ...
• Pre-Training Strategies Using Contrastive Learning and Playlist Information for Music Classification and Similarity

  Alonso-Jiménez, Pablo; Favory, Xavier; Foroughmand, Hadrien; Bourdalas, Grigoris; Serra, Xavier; Lidy, Thomas; Bogdanov, Dmitry (2023-04-25)

  In this work, we investigate an approach that relies on contrastive learning and music metadata as a weak source of supervision to train music representation models. Recent studies show that contrastive learning can be ...
• Note level midi velocity estimation for piano performance

  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, ...
• Essentia API: a web API for music audio analysis

  Correya, Albin Andrew; Bogdanov, Dmitry; Alonso Jiménez, Pablo; Serra, Xavier (2023-01-10)

  We present Essentia API, a web API to access a collection of state-of-the-art music audio analysis and description algorithms based on Essentia, an open-source library and machine learning (ML) models for audio and music ...
• MUSAV: a dataset of relative arousal-valence annotations for validation of audio models

  Bogdanov, Dmitry; Lizarraga Seijas, Xavier; Alonso-Jiménez, Pablo; Serra, Xavier (2022-09-27)

  We present MusAV, a new public benchmark dataset for comparative validation of arousal and valence (AV) regression models for audio-based music emotion recognition. To gather the ground truth, we rely on relative ...
• Music representation learning based on editorial metadata from discogs

  Alonso-Jiménez, Pablo; Serra, Xavier; Bogdanov, Dmitry (2022-09-22)

  This paper revisits the idea of music representation learning supervised by editorial metadata, contributing to the state of the art in two ways. First, we exploit the public editorial metadata available on Discogs, an ...
• Bottlenecks and solutions for audio to score alignment research

  Morsi, Alia; Serra, Xavier (2022-09-22)

  Although audio to score alignment is a classic Music Information Retrieval problem, it has not been defined uniquely with the scope of musical scenarios representing its core. The absence of a unified vision makes it ...
• 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 ...
• In search of Sañcāras: tradition-informed repeated melodic pattern recognition in carnatic music

  Nuttall, Thomas; Plaja-Roglans, Genís; Pearson, Lara; Sierra, Xavier (2022-09-22)

  Carnatic Music is a South Indian art and devotional musical practice in which melodic patterns (motifs and phrases), known as sañcāras, play a crucial structural and expressive role. We demonstrate how the combination of ...
• Violin etudes: a comprehensive dataset for f0 estimation and performance analysis

  Tamer, Nazif C; Ramoneda, Pedro; Serra, Xavier (2022-09-22)

  Violin performance analysis requires accurate and robust f0 estimates to give feedback on the playing accuracy. Despite the recent advancements in data-driven f0 estimators, their application to performance analysis remains ...
• 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 ...
• Transparent Facemask, MASKIN: prototipo de mascarilla transparente reutilizable y comprometida con medioambiente y sociedad.

  Marco, Álvaro M.; Bernat, Nadia P.; De Vivo, Francesco; Ortega, Juan; Isern, Alejandra; Oviedo, Óscar; Sánchez, Paula (2020)

  ​En el seno de los Premis Enginy COVID19 UPF, el grupo de estudiantes MASKIN y con no otro ánimo que la libre difusión de los resultados alcanzados, presenta su portfolio final que sirva de inspiración a terceros, estudiantes ...
• A quantitative comparison of different approaches for melody extraction from polyphonic audio recordings

  Gómez Gutiérrez, Emilia, 1975-; Streich, Sebastian; Ong, Bee Suan; Paiva, Rui Pedro; Tappert, Sven; Batke, Jan-Mark; Poliner, Graham; Ellis, Daniel P. W.; Bello, Juan Pablo (Universitat Pompeu Fabra, 2006)

  This paper provides an overview of current state-of-the-art approaches for melody extraction from polyphonic audio recordings, and it proposes a methodology for the quantitative evaluation of melody extraction algorithms. ...
• An Environment for the analysis, transformation and resynthesis of music sounds

  Serra, Xavier (1988)

  This paper describes an environment developed at CCRMA for the analysis, transformation, and resynthesis of sounds. It has been written on a Lisp Machine workstation, using an Array Processor to speed up the signal processing ...
• Data modelling for the evaluation of virtualized network functions resource allocation algorithms

  Rankothge, Windhya; Le, Franck; Russo, Alessandra; Lobo, Jorge (2017)

  To conduct a more realistic evaluations on resource allocation algorithms for Virtualized Network Functions (VNFs), researches need data on: (1) potential Network Functions (NFs) chains (policies), (2) traffic flows ...
• FORGe at E2E 2017

  Mille, Simon; Dasiopoulou, Stamatia (2017)

  This paper describes the FORGe generator at WebNLG. The input DBpedia triples are mapped onto sentences by applying a series of rule-based graph-transducers and aggregation grammars to template predicate-argument structures ...
• FORGe at WebNLG 2017

  Mille, Simon; Dasiopoulou, Stamatia (Universitat Pompeu Fabra, 2017)

  This paper describes the FORGe generator at E2E. The input triples are mapped onto sentences by applying a series of rule-based graph-transducers and aggregation grammars to template predicate-argument structures associated ...

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