An overview of lead and accompaniment separation in music

Z Rafii, A Liutkus, FR Stöter, SI Mimilakis… - … on Audio, Speech …, 2018 - ieeexplore.ieee.org
Popular music is often composed of an accompaniment and a lead component, the latter
typically consisting of vocals. Filtering such mixtures to extract one or both components has …

[BOOK][B] Fundamentals of music processing: Audio, analysis, algorithms, applications

M Müller - 2015 - Springer
This textbook provides both profound technological knowledge and a comprehensive
treatment of essential topics in music processing and music information retrieval. Including …

Music source separation with band-split RNN

Y Luo, J Yu - IEEE/ACM Transactions on Audio, Speech, and …, 2023 - ieeexplore.ieee.org
The performance of music source separation (MSS) models has been greatly improved in
recent years thanks to the development of novel neural network architectures and training …

A Comprehensive Review on Music Transcription

B Bhattarai, J Lee - Applied Sciences, 2023 - mdpi.com
Music transcription is the process of transforming recorded sound of musical performances
into symbolic representations such as sheet music or MIDI files. Extensive research and …

Automatic music transcription: challenges and future directions

E Benetos, S Dixon, D Giannoulis, H Kirchhoff… - Journal of Intelligent …, 2013 - Springer
Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

Construction of music teaching evaluation model based on weighted naïve bayes

X **a, J Yan - Scientific Programming, 2021 - Wiley Online Library
Evaluation of music teaching is a highly subjective task often depending upon experts to
assess both the technical and artistic characteristics of performance from the audio signal …

[HTML][HTML] Assessment of student music performances using deep neural networks

KA Pati, S Gururani, A Lerch - Applied Sciences, 2018 - mdpi.com
Music performance assessment is a highly subjective task often relying on experts to gauge
both the technical and aesthetic aspects of the performance from the audio signal. This …

Automatic assessment of tone quality in violin music performance

S Giraldo, G Waddell, I Nou, A Ortega, O Mayor… - Frontiers in …, 2019 - frontiersin.org
The automatic assessment of music performance has become an area of increasing interest
due to the growing number of technology-enhanced music learning systems. In most of …

Guitar effects recognition and parameter estimation with convolutional neural networks

M Comunità, D Stowell, JD Reiss - arxiv preprint arxiv:2012.03216, 2020 - arxiv.org
Despite the popularity of guitar effects, there is very little existing research on classification
and parameter estimation of specific plugins or effect units from guitar recordings. In this …

Quantitative analysis of piano performance proficiency focusing on difference between hands

S Kim, JM Park, S Rhyu, J Nam, K Lee - PloS one, 2021 - journals.plos.org
Quantitative evaluation of piano performance is of interests in many fields, including music
education and computational performance rendering. Previous studies utilized features …