Filters








11,492 Hits in 5.0 sec

On Detecting Repeated Notes In Piano Music

Matija Marolt, Sasa Divjak
2002 Zenodo  
DETECTING REPEATED NOTES IN PIANO MUSIC Problems related to repeated notes are quite common in piano music, especially in pedaled parts, where long sustained notes can become a source of many errors.  ...  The paper presents our experiences in handling repeated notes within our system for transcription of piano music [4] .  ... 
doi:10.5281/zenodo.1416077 fatcat:mhqi7xwz3fhancc7p4pgawzmpu

Improving Piano Note Tracking By Hmm Smoothing

Tian Cheng, Simon Dixon, Matthias Mauch
2015 Zenodo  
Publication in the conference proceedings of EUSIPCO, Nice, France, 2015  ...  For note-level transcription of piano music, repeated notes are a typical cause of false negatives.  ...  It helps to detect more true notes for repeated notes and has no obvious impact on frame-wise metrics.  ... 
doi:10.5281/zenodo.38882 fatcat:7ngulutzmfex5iv3jbsd77xhmi

GiantMIDI-Piano: A Large-Scale MIDI Dataset for Classical Piano Music

Qiuqiang Kong, Bochen Li, Jitong Chen, Yuxuan Wang
2022 Transactions of the International Society for Music Information Retrieval  
We evaluate the quality of GiantMIDI-Piano in terms of solo piano detection F1 scores, metadata accuracy, and transcription error rates.  ...  In this article, we describe the creation of the GiantMIDI-Piano (GP) dataset containing 38,700,838 transcribed notes and 10,855 unique solo piano works composed by 2,786 composers.  ...  In the works of J. S. Bach, the dip in the interval 0 indicates that repeated notes are less commonly used than non-repeated notes. Other composers used more repeated notes than J. S. Bach.  ... 
doi:10.5334/tismir.80 fatcat:yecuq5dw3fbqvknxc5gncc6cyy

Monophonic Piano Music Transcription

Yong Yee Zien, Yap Fa Toh
2016 Indian Journal of Science and Technology  
This paper proposes a method for computational monophonic piano music transcription, which detects the pitches of piano music and thus to identify the corresponding musical notations.  ...  It is because the performances of the algorithms are dependent on the threshold values set in the program.  ...  The proposed computational music transcription method in this paper emphasizes on Onset Detection Algorithm and Pitch Detection Algorithm, which basically involve analyzing the sound wave of piano music  ... 
doi:10.17485/ijst/2016/v9i28/97359 fatcat:zpqfrzelezcj7bhghsbpvdwmry

Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing [chapter]

Mevlut Evren Tekin, Christina Anagnostopoulou, Yo Tomita
2005 Lecture Notes in Computer Science  
Score following has been an important area of research in AI and music since the mid 80's.  ...  They have a big potential in the area of education where student performers benefit in practice situations.  ...  With the added capabilities of polyphonic music support, using duration information for increased robustness and a pitch, the system will be a valuable learning tool for many music students.  ... 
doi:10.1007/978-3-540-31807-1_16 fatcat:nop2gicyijf4ba5obtce2lyvzq

Scorpiano – A System for Automatic Music Transcription for Monophonic Piano Music [article]

Bojan Sofronievski, Branislav Gerazov
2021 arXiv   pre-print
The system integrates multiple digital audio processing methods: notes onset detection, tempo estimation, beat detection, pitch detection and finally generation of the music score.  ...  Music transcription is the process of transcribing music audio into music notation. It is a field in which the machines still cannot beat human performance.  ...  Onset Detection Onset detection is the task of determining the starting times of musical notes in a music recording.  ... 
arXiv:2108.10689v1 fatcat:57glnm6wczfjtnfafefnhwlrpm

GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music [article]

Qiuqiang Kong, Bochen Li, Jitong Chen, Yuxuan Wang
2022 arXiv   pre-print
We evaluate the quality of GiantMIDI-Piano in terms of solo piano detection F1 scores, metadata accuracy, and transcription error rates.  ...  In this article, we create a GiantMIDI-Piano (GP) dataset containing 38,700,838 transcribed notes and 10,855 unique solo piano works composed by 2,786 composers.  ...  In the works of J. S. Bach, the dip in the interval 0 indicates that repeated notes are less commonly used than non-repeated notes. Other composers used more repeated notes than J. S. Bach.  ... 
arXiv:2010.07061v3 fatcat:nmvdx3afujdapfyhhilyrqjawm

Detection of musically relevant regions in multiresolution time-frequency representations evaluated on piano recordings

Nicolas Figueiredo, Marcelo Queiroz
2020 Zenodo  
A second experiment was conducted evaluating chosen estimators as features in a predictive model for the binary detection of musically relevant regions of a time-frequency representation.  ...  Different reference values were considered, capturing the presence of musical information in the time-frequency plane that are relevant to music information retrieval tasks such as automatic music transcription  ...  This is a burden for tasks such as automatic music transcription (AMT) that depend on the precise detection of both note onset times and melody contours, especially when the analysis of expressive elements  ... 
doi:10.5281/zenodo.3898700 fatcat:ld3nuxqwrjhe3clhysbr37j6du

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.  ...  Using only synthetic data and unaligned supervision, we report SOTA note-level accuracy of the MAPS dataset, and large favorable margins on cross-dataset evaluations.  ...  Introduction Automatic Music Transcription (AMT) is the task of decoding musical notes from an audio signal, and is one of the most central tasks in Music Information Retrieval (MIR).  ... 
arXiv:2204.13668v1 fatcat:bkqzv3iwb5cqxb6t673mvowamy

A Study On Lstm Networks For Polyphonic Music Sequence Modelling

Adrien Ycart, Emmanouil Benetos
2017 Zenodo  
In particular, held notes and repeated notes are not differentiated.  ...  In [17] , it was integrated in an end-to-end neural-network for multi-pitch detection in piano music, coupled with a variety of neural-network-based acoustic models.  ... 
doi:10.5281/zenodo.1415018 fatcat:2xzmmy3xgfaebinoeank5j7vqu

Networks of Adaptive Oscillators for Partial Tracking and Transcription of Music Recordings

Matija Marolt
2004 Journal of New Music Research  
In this paper, we present a technique for tracking partials in musical signals, based on networks of adaptive oscillators.  ...  We show how synchronization of adaptive oscillators can be utilized to detect periodic patterns in outputs of a human auditory model and thus track stable frequency components (partials) in musical signals  ...  Music transcription is a difficult task, so we put one major constraint on our transcription system: it only transcribes piano music, so piano should be the only instrument in the analyzed musical signal  ... 
doi:10.1076/jnmr.33.1.49.35391 fatcat:ok44xvu5uzgktouhljkuihza3m

Detection Of Key Change In Classical Piano Music

Wei Chai, Barry Vercoe
2005 Zenodo  
Furthermore, detection of key is a critical step for finding repeated patterns in music for music indexing and searching.  ...  Detecting key of music is one of the major tasks in tonal analysis.  ... 
doi:10.5281/zenodo.1415538 fatcat:up2wsu3k7va2fpvgghkhbcoqty

A Content Dependent Visualization System for Symbolic Representation of Piano Stream [chapter]

Alexander Adli, Zensho Nakao, Yasunori Nagata
2007 Lecture Notes in Computer Science  
This paper provides an overview on the advances of music information retrieval in symbolic representation of music.  ...  Such musical aspects as key, tonality, bass, melody, dynamics, rhythm and patterns are considered as foundation for visualizing systems for the piano stream in classical music.  ...  However, this technique is not much useful in classical piano music, as it is seldom in such music to divide into melody and harmony channels especially when both are played on the piano.  ... 
doi:10.1007/978-3-540-74827-4_37 fatcat:qfj2y4aqtfahxcu7tc6qzdimxq

Automatic Generation of Piano Score Following Videos

Mengyi Shan, T. J. Tsai
2021 Transactions of the International Society for Music Information Retrieval  
Unlike previous work, we focus primarily on working with raw, unprocessed sheet music from IMSLP, which may contain filler pages, other unrelated pieces or movements, or repeats and jumps whose locations  ...  This article studies the problem of generating a piano score following video from an audio recording in a fully automated manner.  ...  The first difference is that black notes on the piano have enharmonic representations that create ambiguity about a notehead's location on the sheet music.  ... 
doi:10.5334/tismir.69 fatcat:ojktwm232rcmvgppd4srv5fr4q

Navigating the Auditory Scene: An Expert Role for the Hippocampus

S. Teki, S. Kumar, K. von Kriegstein, L. Stewart, C. R. Lyness, B. C. J. Moore, B. Capleton, T. D. Griffiths
2012 Journal of Neuroscience  
Here, we demonstrate that professional piano tuners are significantly better than controls matched for age and musical ability on a psychophysical task simulating active listening to beats within frequency  ...  Tuning requires accurate perception and adjustment of beats in two-note chords that serve as a navigational device to move between points in previously learned acoustic scenes.  ...  A further interval is then tuned based on the most recently tuned note and another note, and this process is repeated iteratively (Fig. 2 A) .  ... 
doi:10.1523/jneurosci.0082-12.2012 pmid:22933806 pmcid:PMC3448926 fatcat:rhkwzxbrfzhuriaq434y32h6ru
« Previous Showing results 1 — 15 out of 11,492 results