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Improving Score-Informed Source Separation For Classical Music Through Note Refinement

Marius Miron, Julio José Carabias-Orti, Jordi Janer
2015 Zenodo  
ACKNOWLEDGEMENTS This work was supported by the European Commission, FP7 (Seventh Framework Programme), STREP project, ICT-2011.8.2 ICT for access to cultural resources, grant agreement No 601166.  ...  The goal of this paper is to use the note refinement information in order to improve score-informed source separation of harmonic instruments.  ...  CONCLUSIONS We proposed a timbre-informed note refinement method to correct local misalignments and to refine the output of state of the art audio-to-score alignment systems, for monaural classical music  ... 
doi:10.5281/zenodo.1417688 fatcat:si3iyzbognf4dkwlxd5ifkzlqa

Score-Informed Source Separation for Multichannel Orchestral Recordings

Marius Miron, Julio J. Carabias-Orti, Juan J. Bosch, Emilia Gómez, Jordi Janer
2016 Journal of Electrical and Computer Engineering  
This paper proposes a system for score-informed audio source separation for multichannel orchestral recordings. The orchestral music repertoire relies on the existence of scores.  ...  Results show that we are able to align the original score with the audio of the performance and separate the sources corresponding to the instrument sections.  ...  Particularly, they would like to thank Agustin Martorell for his insights on the musicology side and correcting the scores and Oscar Mayor for his help regarding Repovizz and his contribution on the applications  ... 
doi:10.1155/2016/8363507 fatcat:ziogdp2jfrexnhk4nyakhui3ci

Soundprism: An Online System for Score-Informed Source Separation of Music Audio

Zhiyao Duan, Bryan Pardo
2011 IEEE Journal on Selected Topics in Signal Processing  
for each time frame, informed by the score.  ...  In building the source separator, we first refine the score-informed pitches of the current audio frame by maximizing the multipitch observation likelihood.  ...  We thank Joachim Ganseman for providing the code for his score-informed separation algorithm, Arshia Cont for providing code to evaluate the alignment rate measure, and Craig Sapp for providing the reference  ... 
doi:10.1109/jstsp.2011.2159701 fatcat:mvipuspvcfdltet5ynq5t5viz4

Automatic melodic and structural analysis of music material for enriched concert related experiences

Juan J. Bosch
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
The main focus is set on classical western music in large ensemble settings, which poses interesting research challenges to current state-of-the art algorithms.  ...  This PhD thesis proposal deals with the automatic analysis of musical audio, focusing on the estimation of the predominant melodic lines, which are used as a basis for extracting musical themes, and (along  ...  The proposed solutions improved the estimation of the predominant melody and source separation.  ... 
doi:10.1145/2502081.2502218 dblp:conf/mm/Bosch13 fatcat:6cx3ocd4wjdkvo4babtvu2yluu

Video-Based Vibrato Detection And Analysis For Polyphonic String Music

Bochen Li, Karthik Dinesh, Gaurav Sharma 0001, Zhiyao Duan
2017 Zenodo  
We thank the Center for Integrated Research Computing (CIRC), University of Rochester for providing computational resources for the project.  ...  Note that although we can refine the pitches directly from the audio mixture without source separation, it is reported in [16] that the result is more robust on the separated sources.  ...  We again apply the above-mentioned score-informed pitch refinement step to further reduce interference from other sources.  ... 
doi:10.5281/zenodo.1417249 fatcat:m46d2xdezfaz5gthkmyu6d273q

Monaural Musical Sound Separation Based on Pitch and Common Amplitude Modulation

Yipeng Li, J. Woodruff, DeLiang Wang
2009 IEEE Transactions on Audio, Speech, and Language Processing  
The system directly distributes mixture energy for harmonics that are unobstructed by other sources.  ...  We also introduce a technique to improve the accuracy of rough pitch estimates. Results show that the proposed system significantly outperforms related monaural musical sound separation systems.  ...  Virtanen for his assistance in comparison.  ... 
doi:10.1109/tasl.2009.2020886 fatcat:lzvqeionijcklphu4cgwxgnhz4

Online/offline score informed music signal decomposition: application to minus one

Antonio Jesús Munoz-Montoro, Julio José Carabias-Orti, Pedro Vera-Candeas, Francisco Jesús Canadas-Quesada, Nicolás Ruiz-Reyes
2019 EURASIP Journal on Audio, Speech, and Music Processing  
In this paper, we propose a score-informed source separation framework based on non-negative matrix factorization (NMF) and dynamic time warping (DTW) that suits for both offline and online systems.  ...  Finally, in the separation stage, the obtained gains are refined using local low-rank NMF and the separated sources are obtained using a soft-filter strategy.  ...  Score information has been also used to improve the separation results of DL methods.  ... 
doi:10.1186/s13636-019-0168-6 fatcat:4g7mms5vu5byxidjobtra4aj6q

Improving Rhythmic Transcriptions Via Probability Models Applied Post-Omr

Maura Church, Michael Scott Cuthbert
2014 Zenodo  
School of Humanities, Arts, and Social Sciences, MIT, for research support, four anonymous readers for suggestions, and Margo Levine, Beth Chen, and Suzie Clark of Harvard's Applied Math and Music departments  ...  for advice and encouragement.  ...  RESULTS Nine scores of four-movement quartets by Mozart (5) 15th International Society for Music Information Retrieval Conference (ISMIR 2014) The pre-processed OMR movement was aligned with the ground  ... 
doi:10.5281/zenodo.1416752 fatcat:dynk2fwp7zgazgxprg3vpnmscy

Automatic Music Transcription: Breaking The Glass Ceiling

Emmanouil Benetos, Simon Dixon, Dimitrios Giannoulis, Holger Kirchhoff, Anssi Klapuri
2012 Zenodo  
the system refines the selected F0 tracks, and estimates and separates the relevant source.  ...  Finally, source separation can be fully utilised in a semisupervised system like [12] , where the user initially selects the desired audio source through the estimated F0 track of that source and subsequently  ... 
doi:10.5281/zenodo.1415088 fatcat:rfrzyhmfebaanppofxfcbxgei4

Characterizing Difficulty Levels of Keyboard Music Scores

Alia Morsi, Xavier Serra
2020 Zenodo  
The proliferation online music scores for various instruments and musical styles can be very positive for music learners, who would now witness an increase in score availability for a variety of styles  ...  Moreover, we devote an entire chapter to reviewing through textual content provided by TCL such as information within their songbooks and syllabuses to serve as a foundation for new feature suggestions  ...  The music scores provided by TCL are ranked according to difficulty through belonging to one of 9 grade levels, and refining the selection of songs belonging to a grade level is conducted through an iterative  ... 
doi:10.5281/zenodo.4090526 fatcat:6me3so74gnfbzdf44xpltivhva

Audiovisual Analysis of Music Performances: Overview of an Emerging Field

Zhiyao Duan, Slim Essid, Cynthia C.S. Liem, Gael Richard, Gaurav Sharma
2019 IEEE Signal Processing Magazine  
separation, machine-learning methods for audio/music signals, music information retrieval, and multimodal audio processing.  ...  He is coauthor of more than 200 papers, His research interests are mainly in the field of speech and audio signal processing and include topics such as signal representations and signal models, source  ...  Score-informed source separation is then performed, and the pitch contour of each note is estimated from the separated source signal.  ... 
doi:10.1109/msp.2018.2875511 fatcat:fdrryzbojvgp7bkaqwmmun4zhu

An Overview of Lead and Accompaniment Separation in Music [article]

Zafar Rafii and Antoine Liutkus and Fabian-Robert Stöter and Stylianos Ioannis Mimilakis and Derry FitzGerald and Bryan Pardo
2018 arXiv   pre-print
Finally, we discuss the delicate problem of evaluating the quality of music separation through adequate metrics and present the results of the largest evaluation, to-date, of lead and accompaniment separation  ...  This particular case of source separation yields very specific challenges and opportunities, including the particular complexity of musical structures, but also relevant prior knowledge coming from acoustics  ...  They proposed to exploit the score information through two types of constraints applied in the model.  ... 
arXiv:1804.08300v1 fatcat:yd2lfvrr3zgotaixhhsnby223u

An Overview of Lead and Accompaniment Separation in Music

Zafar Rafii, Antoine Liutkus, Fabian-Robert Stoter, Stylianos Ioannis Mimilakis, Derry FitzGerald, Bryan Pardo
2018 IEEE/ACM Transactions on Audio Speech and Language Processing  
Finally, we discuss the delicate problem of evaluating the quality of music separation through adequate metrics and present the results of the largest evaluation, to-date, of lead and accompaniment separation  ...  This particular case of source separation yields very specific challenges and opportunities, including the particular complexity of musical structures, but also relevant prior knowledge coming from acoustics  ...  They proposed to exploit the score information through two types of constraints applied in the model.  ... 
doi:10.1109/taslp.2018.2825440 fatcat:256vf4wogzfsrlzlsfxda44gri

Compensating for asynchronies between musical voices in score-performance alignment

Siying Wang, Sebastian Ewert, Simon Dixon
2015 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
Constraining the alignment with information obtained via classical DTW, our method measurably improves the alignment accuracy for pieces with asynchronous voices and preserves the accuracy otherwise.  ...  The goal of score-performance synchronisation is to align a given musical score to an audio recording of a performance of the same piece.  ...  editing and source separation [10] .  ... 
doi:10.1109/icassp.2015.7178037 dblp:conf/icassp/WangED15 fatcat:vmypg33exbgcbipcatwxywt4he

Unaligned Supervision For Automatic Music Transcription in The Wild [article]

Ben Maman, Amit H. Bermano
2022 arXiv   pre-print
Multi-instrument Automatic Music Transcription (AMT), or the decoding of a musical recording into semantic musical content, is one of the holy grails of Music Information Retrieval.  ...  We introduce NoteEM, a method for simultaneously training a transcriber and aligning the scores to their corresponding performances, in a fully-automated process.  ...  The musical score of a piece has instructions for note duration, which provides approximate information that enables learning frame-level transcription in the weakly supervised setting.  ... 
arXiv:2204.13668v1 fatcat:bkqzv3iwb5cqxb6t673mvowamy
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