Harnessing Machine Learning in Vocal Arts Medicine: A Random Forest Application for “Fach” Classification in Opera

Z Wang, M Müller, F Caffier, PP Caffier - Diagnostics, 2023 - mdpi.com
Vocal arts medicine provides care and prevention strategies for professional voice disorders
in performing artists. The issue of correct “Fach” determination depending on the presence …

Towards Automated Vocal Mode Classification in Healthy Singing Voice—An XGBoost Decision Tree-Based Machine Learning Classifier

J Sol, M Aaen, C Sadolin, L Ten Bosch - Journal of Voice, 2023 - Elsevier
Auditory-perceptual assessment is widely used in clinical and pedagogical practice for
speech and singing voice, yet several studies have shown poor intra-and inter-rater …

Lyric or dramatic-vibrato analysis for voice type classification in professional opera singers

M Müller, T Schulz, T Ermakova… - IEEE/ACM Transactions …, 2021 - ieeexplore.ieee.org
Vibrato is one of the most frequently investigated parameters in singing. Most studies
examine a very limited number of sound samples to answer specific questions. In the novel …

[图书][B] Learning techniques for identifying vocal regions in music using the wavelet transformation, Version 1.0

MJ Henry - 2011 - search.proquest.com
In this research I present a machine learning method for the automatic detection of vocal
regions in music. I employ the wavelet transformation to extract wavelet coefficients, from …

Investigating time-frequency representations for audio feature extraction in singing technique classification

Y Yamamoto, J Nam, H Terasawa… - 2021 Asia-Pacific …, 2021 - ieeexplore.ieee.org
Singing techniques are used for expressive vocal performances by employing temporal
fluctuations of timbre, pitch, and other components of the voice. In this study, we compare the …

New objective timbre parameters for classification of voice type and fach in professional opera singers

M Müller, Z Wang, F Caffier, PP Caffier - Scientific Reports, 2022 - nature.com
Voice timbre is defined as sound color independent of pitch and volume, based on a broad
frequency band between 2 and 4 kHz. Since there are no specific timbre parameters …

Human vocal type classification using MFCC and convolutional neural network

KB Pratama, S Suyanto… - … on Communication & …, 2021 - ieeexplore.ieee.org
The range of voices is an essential aspect that a singer needs to know. This knowledge is
necessary so that the singer can maximize their singing potential. This study discussed …

Singing voice identification using spectral envelope estimation

MA Bartsch, GH Wakefield - IEEE Transactions on speech and …, 2004 - ieeexplore.ieee.org
In this paper, we present a spectrum-based system for singer identification that operates for
the ideal case in which audio samples contain only the singer's voice. Our method begins …

[PDF][PDF] A musicological pipeline for singing voice style analysis with neural voice processing and alignment

Y Teytaut, A Petit, C Chabot-Canet… - … Musicale (JIM 2023) …, 2023 - jim2023.sciencesconf.org
The study of singing style is of great interest both for expressive vocal synthesis and for the
musicological analysis of vocal performances, inciting to a fruitful convergence between …

[PDF][PDF] On the use of the correlation between acoustic descriptors for the normal/pathological voices discrimination

T Dubuisson, T Dutoit, B Gosselin… - EURASIP Journal on …, 2009 - Springer
This paper presents an analysis system aiming at discriminating between normal and
pathological voices. Compared to literature of voice pathology assessment, it is …