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The Deep Learning Revolution in MIR: The Pros and Cons, the Needs and the Challenges Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Ensemble Size Classification in Colombian Andean String Music Recordings

Authors : Sascha Grollmisch, Estefanía Cano, Fernando Mora Ángel, Gustavo López Gil

Published in: Perception, Representations, Image, Sound, Music

Publisher: Springer International Publishing

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Abstract

Reliable methods for automatic retrieval of semantic information from large digital music archives can play a critical role in musicological research and musical heritage preservation. With the advancement of machine learning techniques, new possibilities for information retrieval in scenarios where ground-truth data is scarce are now available. This work investigates the problem of ensemble size classification in music recordings. For this purpose, a new dataset of Colombian Andean string music was compiled and annotated by musicological experts. Different neural network architectures, as well as pre-processing steps and data augmentation techniques were systematically evaluated and optimized. The best deep neural network architecture achieved 81.5% file-wise mean class accuracy using only feed forward layers with linear magnitude spectrograms as input representation. This model will serve as a baseline for future research on ensemble size classification.

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previous chapter Towards Deep Learning Strategies for Transcribing Electroacoustic Music
next chapter Tapping Along to the Difficult Ones: Leveraging User-Input for Beat Tracking in Highly Expressive Musical Content
Footnotes
4
Tensorflow (1.12): www.​tensorflow.​org.
 
6
Implementation from librosa (0.7.2): https://​librosa.​github.​io/​.
 
7
Implementation from scikit-learn (0.22.2): https://​scikit-learn.​org/​.
 
8
For random brightness, random rotate and grid distortion implementations were taken from [5]. For random erase, mixup and SpecAugment, we used the implementation provided in the corresponding publications: [23, 24], and [16].
 
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Metadata
Title
Ensemble Size Classification in Colombian Andean String Music Recordings
Authors
Sascha Grollmisch
Estefanía Cano
Fernando Mora Ángel
Gustavo López Gil
Copyright Year
2021
Book
Perception, Representations, Image, Sound, Music

Print ISBN: 978-3-030-70209-0

Electronic ISBN: 978-3-030-70210-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-70210-6_4