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Perceptually-Based Evaluation Of The Errors Usually Made When Automatically Transcribing Music

Adrien Daniel, Valentin Emiya, Bertrand David
2008 Zenodo  
This paper investigates the perceptual importance of typical errors occurring when transcribing polyphonic music excerpts into a symbolic form, e.g. converting a piece recorded in a PCM (.wav) format into  ...  However, the most widely used criteria for assessing automatic transcription are quantitative, even if the evaluation framework is not always similar (frame-based [15] , note-based [16] or both [1]  ... 
doi:10.5281/zenodo.1417154 fatcat:pkgecrezefhcjha3izccaily3a

Automatic scoring of singing voice based on melodic similarity measures

Emilio Molina
2012 Zenodo  
A method for automatic assessment of singing voice is proposed. Such method quantifies in a meaningful way the similarity between the user performance and a reference melody.  ...  The teacher criteria is specially well modelled for pitch intonation evaluation.  ...  Special thanks to Xavier Serra for giving me the chance of being part of the SMC Master. Finally, I thank ATIC team of the University of Málaga for taking me into account for their research projects.  ... 
doi:10.5281/zenodo.3731401 fatcat:4b4ta5op7jfrnevzfisdbnervu

Survey on automatic transcription of music

Tiago Fernandes Tavares, Jayme Garcia Arnal Barbedo, Romis Attux, Amauri Lopes
2013 Journal of the Brazilian Computer Society  
An automatic music transcriber is a device that detects, without human interference, the musical gestures required to play a particular piece.  ...  Many techniques have been proposed to solve the problem of automatic music transcription.  ...  An early attempt to design an automatic music transcriber using the DFT was made by Piszczalski [87] , who noticed that, by analyzing the two highest peaks of the DFT, it is possible to determine the  ... 
doi:10.1007/s13173-013-0118-6 fatcat:pn2meihauvhfha6usww6dpbyu4

Audio-to-Score Alignment Using Deep Automatic Music Transcription [article]

Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
2021 arXiv   pre-print
Recent literature confirms the benefits of Automatic Music Transcription (AMT) for A2SA at the frame-level.  ...  We propose a method which benefits from HMM-based score-to-score alignment and AMT, showing a remarkable advancement beyond the state-of-the-art.  ...  Whenever a method failed for an out-of-ram/out-of-time error, the specific piece was removed from the evaluation.  ... 
arXiv:2107.12854v3 fatcat:pvspmmnqkrbgvn37zzdt5ynhda

Investigating the Perceptual Validity of Evaluation Metrics for Automatic Piano Music Transcription

Adrien Ycart, Lele Liu, Emmanouil Benetos, Marcus T. Pearce
2020 Transactions of the International Society for Music Information Retrieval  
Automatic Music Transcription (AMT) is usually evaluated using low-level criteria, typically by counting the number of errors, with equal weighting.  ...  We make the collected data entirely available for further study, in particular to evaluate the perceptual relevance of new AMT metrics.  ...  Acknowledgements The authors would like to thank Li Su  ... 
doi:10.5334/tismir.57 fatcat:5wuthjnplbfqdl6yxc7nkvkt5m

Evaluating Automatic Polyphonic Music Transcription

Andrew McLeod, Mark Steedman
2018 Zenodo  
We therefore introduce M V 2H, a quantitative, automatic, joint evaluation metric based on musicological principles, and show its effectiveness through the use of specific examples.  ...  Automatic Music Transcription (AMT) is an important task in music information retrieval.  ...  Joint Metric For the joint evaluation of AMT performance, [7] presents a system to transcribe MIDI input into a musical score (thus including errors from typesetting), and evaluate it using five human  ... 
doi:10.5281/zenodo.1492338 fatcat:hrfrd5wpibbznneoxwbcfahz4i

Audio-to-Score Alignment Using Deep Automatic Music Transcription

Federico Simonetta, Stavros Ntalampiras, Federico Avanzini
2021 Zenodo  
Recent literature confirms the benefits of Automatic Music Transcription (AMT) for A2SA at the frame-level.  ...  We propose a method which benefits from HMM-based score-to-score alignment and AMT, showing a remarkable advancement beyond the state-of-the-art.  ...  Whenever a method failed for an out-of-ram/out-of-time error, the specific piece was removed from the evaluation.  ... 
doi:10.5281/zenodo.5140046 fatcat:hnhusyuinnabtf4ygyqdtovvya

Automatic Transcription of Flamenco Singing From Polyphonic Music Recordings

Nadine Kroher, Emilia Gomez
2016 IEEE/ACM Transactions on Audio Speech and Language Processing  
Automatic note-level transcription is considered one of the most challenging tasks in music information retrieval.  ...  The proposed system outperforms state of the art singing transcription systems with respect to voicing accuracy, onset detection and overall performance when evaluated on flamenco singing datasets.  ...  ACKNOWLEDGMENT This research was funded by the PhD fellowship of the Department of Information and Communication Technologies (DTIC), Universitat Pompeu Fabra and the projects SIGMUS (TIN2012-36650) and  ... 
doi:10.1109/taslp.2016.2531284 fatcat:v5qmzkfbcncjhbjm6gdjrqcnga

Musical Offset Detection Of Pitched Instruments: The Case Of Violin

Che-Yuan Liang, Li Su, Yi-Hsuan Yang, Hsin-Ming Lin
2015 Zenodo  
SF-based methods are prone to produce temporal detection errors largely in pizzicato and spiccato, making the conventional evaluation metric for onset less appropriate for evaluate the result for offset  ...  The interesting finding is that, while most methods we considered have similar result for the two evaluation metrics, the result of SF-based methods degrades a lot when the onset-aware metric is adopted  ... 
doi:10.5281/zenodo.1416834 fatcat:ohjdxfydgvhp3ci6liwzqcp36i

Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation

Imed Laaridh, Julien Tardieu, Cynthia Magnen, Pascal Gaillard, Jérôme Farinas, Julien Pinquier
2018 Interspeech 2018  
The perceptual evaluation showed similar effects of NIHL simulation on the male, female and child speakers.  ...  In addition, the automatic intelligibility measure, based on automatic speech recognition scores, was proven to well predict the effects of the different severity levels of NIHL.  ...  Word Error Rate -WER).  ... 
doi:10.21437/interspeech.2018-1264 dblp:conf/interspeech/LaaridhTMGFP18 fatcat:yp6a3c6erfgoxilsjy5obfdh4q

It'S Time For A Song - Transcribing Recordings Of Bell-Playing Clocks

Matija Marolt, Marieke Lefeber
2010 Zenodo  
This work was supported in part by the Slovenian Government-Founded R&D project Eth-noCatalogue: creating semantic descriptions of Slovene folk song and music.  ...  The Transcription Algorithm To evaluate how various choices made when designing our transcription algorithm influence its performance, we tested several variants of the algorithm: Athe described algorithm  ...  EVALUATION In order to evaluate our algorithm, we manually transcribed and annotated positions of partials in a set of 10 recordings of different bell-playing clocks.  ... 
doi:10.5281/zenodo.1416704 fatcat:xukao6thzzcrvo5ff7rdyr2usa

Decision-Based Transcription of Jazz Guitar Solos Using a Harmonic Bident Analysis Filter Bank and Spectral Distribution Weighting [article]

Stanislaw Gorlow, Mathieu Ramona, François Pachet
2016 arXiv   pre-print
The motivation is either for the purpose of practice and imitation or for musical analysis. In this work, an automatic transcriber for jazz guitar solos is developed.  ...  There are situations, however, when one would like to have the original melody lines in the form of notated music, see the Real Book.  ...  They also thank all the reviewers of the manuscript.  ... 
arXiv:1611.06505v1 fatcat:lb3egkaubzen7flyfxdxi3aqi4

Automatic Music Transcription [chapter]

Anssi Klapuri, Tuomas Virtanen
2008 Handbook of Signal Processing in Acoustics  
A system for the automatic transcription of music is described. Signal processing methods are introduced that solve different facets of the overall problem.  ...  The presented system is evaluated using a database of musical sounds, synthesized MIDI-songs, and CDrecordings. Also, the performance of the system is compared to that of human listeners.  ...  A person without a musical education is usually not able to transcribe polyphonic music.  ... 
doi:10.1007/978-0-387-30441-0_20 fatcat:h7wlemorxjfsjhwbg3tkdq2xja

Towards Computer-Assisted Flamenco Transcription: An Experimental Comparison of Automatic Transcription Algorithms as Applied to A Cappella Singing

Emilia Gómez, Jordi Bonada
2013 Computer Music Journal  
In this study, we discuss the difficulties found in transcribing flamenco singing and in evaluating the obtained transcriptions, we analyze the influence of the different steps of the algorithm, and we  ...  This article deals with automatic transcription of flamenco music recordings-more specifically, a cappella singing.  ...  Acknowledgments The authors would like to thank the COFLA team for providing the data set and expertise in flamenco music.  ... 
doi:10.1162/comj_a_00180 fatcat:gjfiq6cvbjg5fdmqi6zjvtpjvm

Combining Temporal And Spectral Features In Hmm-Based Drum Transcription

Jouni Paulus, Anssi Klapuri
2007 Zenodo  
INTRODUCTION Systems for automatic transcription of music have gained a considerable amount of research effort during the last few years.  ...  The extension adopts the idea from [6] and assumes that temporal features can provide information which can correct some of the errors made by the baseline system.  ... 
doi:10.5281/zenodo.1417257 fatcat:vw47jwqdgvh4ziwjcv6zazha44
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