- -

HReMAS: Hybrid Real-time Musical Alignment System

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

HReMAS: Hybrid Real-time Musical Alignment System

Mostrar el registro sencillo del ítem

Ficheros en el ítem

Thumbnail
Nombre: Cabañas-Molero;Co ...
Tamaño: 1.126Mb
Formato: PDF
Descripción: Versión del Autor.
Abrir
[Cerrado]
Nombre: s11227-018-2265-1.pdf
Tamaño: 540.0Kb
Formato: PDF
Descripción: Versión editorial
Solicitar una copia al autor
dc.contributor.author Cabañas-Molero, P. es_ES
dc.contributor.author Cortina-Parajón, Raquel es_ES
dc.contributor.author Combarro, E. F. es_ES
dc.contributor.author Alonso-Jordá, Pedro es_ES
dc.contributor.author Bris-Peñalver, F. J. es_ES
dc.date.accessioned 2020-07-16T03:32:15Z
dc.date.available 2020-07-16T03:32:15Z
dc.date.issued 2019-03 es_ES
dc.identifier.issn 0920-8542 es_ES
dc.identifier.uri http://hdl.handle.net/10251/148105
dc.description.abstract [EN] This paper presents a real-time audio-to-score alignment system for musical applications. The aim of these systems is to synchronize a live musical performance with its symbolic representation in a music sheet. We have used as a base our previous real-time alignment system by enhancing it with a traceback stage, a stage used in offline alignment to improve the accuracy of the aligned note. This stage introduces some delay, what forces to assume a trade-off between output delay and alignment accuracy that must be considered in the design of this type of hybrid techniques. We have also improved our former system to execute faster in order to minimize this delay. Other interesting improvements, like identification of silence frames, have also been incorporated to our proposed system. es_ES
dc.description.sponsorship This work has been supported by the "Ministerio de Economia y Competitividad" of Spain and FEDER under Projects TEC2015-67387-C4-{1,2,3}-R. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof The Journal of Supercomputing es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hybrid audio-to-score alignment es_ES
dc.subject Audio-to-score alignment es_ES
dc.subject Score following es_ES
dc.subject Dynamic time warping es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title HReMAS: Hybrid Real-time Musical Alignment System es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11227-018-2265-1 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2015-67387-C4-2-R/ES/SMART SOUND PROCESSING FOR THE DIGITAL LIVING. INTERACTIVE MUSIC./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2015-67387-C4-3-R/ES/SMART SOUND PROCESSING FOR THE DIGITAL LIVING: SMART COMPUTING/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TEC2015-67387-C4-1-R/ES/SMART SOUND PROCESSING FOR THE DIGITAL LIVING/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Cabañas-Molero, P.; Cortina-Parajón, R.; Combarro, EF.; Alonso-Jordá, P.; Bris-Peñalver, FJ. (2019). HReMAS: Hybrid Real-time Musical Alignment System. The Journal of Supercomputing. 75(3):1001-1013. https://doi.org/10.1007/s11227-018-2265-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11227-018-2265-1 es_ES
dc.description.upvformatpinicio 1001 es_ES
dc.description.upvformatpfin 1013 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 75 es_ES
dc.description.issue 3 es_ES
dc.relation.pasarela S\382164 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Alonso P, Cortina R, Rodríguez-Serrano FJ, Vera-Candeas P, Alonso-González M, Ranilla J (2017) Parallel online time warping for real-time audio-to-score alignment in multi-core systems. J Supercomput 73(1):126–138 es_ES
dc.description.references Alonso P, Vera-Candeas P, Cortina R, Ranilla J (2017) An efficient musical accompaniment parallel system for mobile devices. J Supercomput 73(1):343–353 es_ES
dc.description.references Arzt A (2016) Flexible and robust music tracking. Ph.D. thesis, Johannes Kepler University Linz, Linz, Österreich es_ES
dc.description.references Arzt A, Widmer G, Dixon S (2008) Automatic page turning for musicians via real-time machine listening. In: Proceedings of the 18th European Conference on Artificial Intelligence (ECAI), Amsterdam, pp 241–245 es_ES
dc.description.references Carabias-Orti J, Rodríguez-Serrano F, Vera-Candeas P, Ruiz-Reyes N, Cañadas-Quesada F (2015) An audio to score alignment framework using spectral factorization and dynamic time warping. In: Proceedings of ISMIR, pp 742–748 es_ES
dc.description.references Cont A (2006) Realtime audio to score alignment for polyphonic music instruments, using sparse non-negative constraints and hierarchical HMMs. In: 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, vol 5. pp V–V es_ES
dc.description.references Cont A, Schwarz D, Schnell N, Raphael C (2007) Evaluation of real-time audio-to-score alignment. In: International Symposium on Music Information Retrieval (ISMIR), Vienna es_ES
dc.description.references Dannenberg RB, Raphael C (2006) Music score alignment and computer accompaniment. Commun ACM 49(8):38–43 es_ES
dc.description.references Devaney J, Ellis D (2009) Handling asynchrony in audio-score alignment. In: Proceedings of the International Computer Music Conference Computer Music Association. pp 29–32 es_ES
dc.description.references Dixon S (2005) An on-line time warping algorithm for tracking musical performances. In: Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI). pp 1727–1728 es_ES
dc.description.references Duan Z, Pardo B (2011) Soundprism: an online system for score-informed source separation of music audio. IEEE J Sel Top Signal Process 5(6):1205–1215 es_ES
dc.description.references Ewert S, Muller M, Grosche P (2009) High resolution audio synchronization using chroma onset features. In: IEEE International Conference on Acoustics, Speech and Signal Processing, 2009 (ICASSP 2009). pp 1869–1872 es_ES
dc.description.references Hu N, Dannenberg R, Tzanetakis G (2003) Polyphonic audio matching and alignment for music retrieval. In: 2003 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. pp 185–188 es_ES
dc.description.references Kaprykowsky H, Rodet X (2006) Globally optimal short-time dynamic time warping, application to score to audio alignment. In: Proceedings of the International Conference on Acoustics, Speech and Signal Processing, vol 5. pp. V–V es_ES
dc.description.references Li B, Duan Z (2016) An approach to score following for piano performances with the sustained effect. IEEE/ACM Trans Audio Speech Lang Process 24(12):2425–2438 es_ES
dc.description.references Miron M, Carabias-Orti JJ, Bosch JJ, Gómez E, Janer J (2016) Score-informed source separation for multichannel orchestral recordings. J Electr Comput Eng 2016(8363507):1–19 es_ES
dc.description.references Muñoz-Montoro A, Cabañas-Molero P, Bris-Peñalver F, Combarro E, Cortina R, Alonso P (2017) Discovering the composition of audio files by audio-to-midi alignment. In: Proceedings of the 17th International Conference on Computational and Mathematical Methods in Science and Engineering. pp 1522–1529 es_ES
dc.description.references Orio N, Schwarz D (2001) Alignment of monophonic and polyphonic music to a score. In: Proceedings of the International Computer Music Conference (ICMC), pp 155–158 es_ES
dc.description.references Pätynen J, Pulkki V, Lokki T (2008) Anechoic recording system for symphony orchestra. Acta Acust United Acust 94(6):856–865 es_ES
dc.description.references Raphael C (2010) Music plus one and machine learning. In: Proceedings of the 27th International Conference on Machine Learning (ICML), pp 21–28 es_ES
dc.description.references Rodriguez-Serrano FJ, Carabias-Orti JJ, Vera-Candeas P, Martinez-Munoz D (2016) Tempo driven audio-to-score alignment using spectral decomposition and online dynamic time warping. ACM Trans Intell Syst Technol 8(2):22:1–22:20 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem