Embedded Asian Singer Gender Identification System Based on Singing Voice
Pages 556 - 561
Abstract
Music is a work of art in the form of pitched vibrations that allow listeners to enjoy a work of art. In a piece of musical art there is a frequency, rhythm, tone, and most importantly the waves that we can hear. Identifying music using machine learning is a very important thing to do because it can make the music industry grow. Therefore, gender identification of singers is carried out in music, especially Asian music. By using MFCC for identification along with GMM for gender classification, a system is created that can carry out this classification with a low budget so that many people can take advantage of this feature. The Raspberry Pi 3 Model B+ is a low-power computer with a high level of mobility so that a gender identification system for singers' voices in Asian music using feature extraction of mel-frequency cepstral coefficients and gaussian mixture models can be implemented in the Raspberry Pi 3 Model B+.
References
[1]
Megan F. McKenna. 2020. The sounds around us. Physics Today. 73 (1): 28–34. https://doi.org/10.1063/PT.3.4387
[2]
Catherine Schmidt-Jones. 2013. Sound, Physics and Music. Connexions, Rice University, Houston, Texas. http://cnx.org/content/col10261/1.1/
[3]
Jeremy Wade Morris. 2020. Music Platforms and the Optimization of Culture. Social Media and Society, Sage Journal. 6(3). https://doi.org/10.1177/2056305120940690
[4]
Abayomi-Alli, Olusola O., Robertas Damaševičius, Atika Qazi, Mariam Adedoyin-Olowe, and Sanjay Misra. 2022. Data Augmentation and Deep Learning Methods in Sound Classification: A Systematic Review. Electronics 11, no. 22: 3795. https://doi.org/10.3390/electronics11223795
[5]
Kementerian Kesehatan Republik 2021. Indonesia. Profil Kesehatan Indonesia 2020.
[6]
Sithara A, Abraham Thomas, Dominic Mathew. 2018. Study of MFCC and IHC Feature Extraction Methods With Probabilistic Acoustic Models for Speaker Biometric Applications. Procedia Computer Science. 143. 267-276. https://doi.org/10.1016/j.procs.2018.10.395.
[7]
Ralph W. Fasold. 2013. An Introduction to Language and Linguistics. Cambride University Press.
[8]
Carlos Gussenhoven, Radboud Universiteit Nijmegen. 2004. The Phonology of Tone and Intonation. Cambride University Press.
[9]
Sebastian Ocklenburg Onur Güntürkün. 2012. Hemispheric asymmetries: the comparative view. Front. Psychol., 26. Sec. Comparative Psychology. Vol. 3. https://doi.org/10.3389/fpsyg.2012.00005
[10]
K. V. S. Hari Kumar, Anurag Garg, N. S. Ajai Chandra,1 S. P. Singh, and Rakesh Datta. 2016. Voice and endocrinology. Indian J Endocrinol Metab. 20(5): 590–594. https://10.4103/2230-8210.190523
[11]
Antonella LoMauro and Andrea Aliverti. 2018. Sex differences in respiratory function. Breathe (Sheff). 14(2): 131–140. https://10.1183/20734735.000318
[12]
Ravasio, Matteo. 2021. History of Western Philosophy of Music: Antiquity to 1800. The Stanford Encyclopedia of Philosophy (Fall 2021 Edition), Edward N. Zalta (ed.).
[13]
Julian Cespedes-Guevara, Tuomas Eerola. 2018. Music Communicates Affects, Not Basic Emotions – A Constructionist Account of Attribution of Emotional Meanings to Music. Front. Psychol. Sec. Theoretical and Philosophical Psychology. Vol. 9. https://doi.org/10.3389/fpsyg.2018.00215
[14]
Myriam V. Thoma, Roberto La Marca, Rebecca Brönnimann, Linda Finkel, Ulrike Ehlert, and Urs M. Nater. 2013. The Effect of Music on the Human Stress Response. PLoS One. 8(8): e70156. https://10.1371/journal.pone.0070156
[15]
Sayf A. Majjed, Hafizah Husain, Salina Abdul Samad, Tarik Idbeaa. 2015. Mel frequency cepstral coefficients (Mfcc) feature extraction enhancement in the application of speech recognition: A comparison study. Journal of Theoretical and Applied Information Technology 79(1):38-56.
[16]
Gilberto Francisco Martha de Souza, Adherbal Caminada Netto, Arthur Henrique de Andrade Melani, Miguel Angelo de Carvalho Michalski, Renan Favarão da Silva. 2022. Chapter 5 - Engineering systems fault detection methods. In Advances in Reliability Science, Reliability Analysis and Asset Management of Engineering Systems. Elsevier. 119-164. https://doi.org/10.1016/B978-0-12-823521-8.00003-7.
Index Terms
- Embedded Asian Singer Gender Identification System Based on Singing Voice
Index terms have been assigned to the content through auto-classification.
Recommendations
A Modeling of Singing Voice Robust to Accompaniment Sounds and Its Application to Singer Identification and Vocal-Timbre-Similarity-Based Music Information Retrieval
This paper describes a method of modeling the characteristics of a singing voice from polyphonic musical audio signals including sounds of various musical instruments. Because singing voices play an important role in musical pieces with vocals, such ...
Pitch Oriented Automatic Singer Identification in Pop Music
ICSC '09: Proceedings of the 2009 IEEE International Conference on Semantic ComputingIn this paper, we proposed two novel methods used to distinguish the singer of a pop music. We focused on a single singer and single track case. These two methods are “Pitch Extraction” method and “1/12 OFCC” method. The Pitch Extraction method is ...
Content-based singer classification on compressed domain audio data
In this paper, we proposed a singer identification approach to automatically identify the singer of an unknown MP3 audio data. Differing from previous researches for singer identification in MP3 compressed domain, we use Mel-Frequency Cepstral ...
Comments
Information & Contributors
Information
Published In
October 2023
722 pages
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 December 2023
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
SIET 2023
SIET 2023: International Conference on Sustainable Information Engineering and Technology
October 24 - 25, 2023
Badung, Bali, Indonesia
Acceptance Rates
Overall Acceptance Rate 45 of 57 submissions, 79%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 17Total Downloads
- Downloads (Last 12 months)14
- Downloads (Last 6 weeks)5
Reflects downloads up to 05 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format