Analysis of the Sound Attack in Context of Computer Evaluation of the Singing Voice Quality

• Autorzy: Edward Półrolniczak , Michał Kramarczyk
• Języki publikacji: EN

Abstrakty

EN

Sound attack is meant as the initiation of the tone. Good attack involves the simultaneous start of exhalation along with the emission of sound. This situation is known as a soft attack. Much more common is a hard type of attack, which is normally used while speaking. It involves tightening of the vocal cords before the expiration. Unfortunately, this state is tiring for the ligaments and can cause damage to the voice. The idea was to propose a method to analyse this problem, which in the future would become a part of set of methods for computer analysis of the singing voice. This article presents a method of the extraction of attack parameters. The estimation of these parameters is carried out with the recorded audio samples. In the study sound sample of 'a' registered several times for each pitch will be used.(original abstract)

Słowa kluczowe

EN

Physics; Computer information

PL

Fizyka; Informacja komputerowa

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2015
• Tom: 5
• Strony: 889--894

Twórcy

autor

Edward Półrolniczak

• West Pomeranian University of Technology, Szczecin, Poland

autor

Michał Kramarczyk

• West Pomeranian University of Technology, Szczecin, Poland

Bibliografia

• Y. Meron and K. Hirose, "Separation of singing and piano sounds." in ICSLP, 1998.
• M. Muller, D. P. Ellis, A. Klapuri, and G. Richard, "Signal processing for music analysis," Selected Topics in Signal Processing, IEEE Journal of, vol. 5, no. 6, pp. 1088-1110, 2011.
• A. Holzapfel, Y. Stylianou, A. C. Gedik, and B. Bozkurt, "Three dimensions of pitched instrument onset detection," Audio, Speech, and Language Processing, IEEE Transactions on, vol. 18, no. 6, pp. 1517- 1527, 2010.
• L. Mazurowski, "Computer models for algorithmic music composition," in Computer Science and Information Systems (FedCSIS), 2012 Feder- ated Conference on. IEEE, 2012, pp. 733-737.
• K. Jensen, "Envelope model of isolated musical sounds," in Proceedings of the 2nd COST G-6 Workshop on Digital Audio Effects (DAFx99), 1999.
• J. Davids and S. LaTour, Vocal Technique: A Guide for Conductors, Teachers, and Singers. Waveland Press, 2012.
• J. P. Bello, L. Daudet, S. Abdallah, C. Duxbury, M. Davies, and M. B. Sandler, "A tutorial on onset detection in music signals," Speech and Audio Processing, IEEE Transactions on, vol. 13, no. 5, pp. 1035-1047, 2005.
• C.-C. Toh, B. Zhang, and Y. Wang, "Multiple-feature fusion based onset detection for solo singing voice." in ISMIR, 2008, pp. 515-520.
• R. M. Alderson, Complete handbook of voice training. Parker Publishing Company, 1979.
• X. Rodet and F. Jaillet, "Detection and modeling of fast attack transients," in Proceedings of the International Computer Music Conference, 2001, pp. 30-33.
• M. Łazoryszczak and E. Półrolniczak, "Audio database for the as sessment of singing voice quality of choir members," Elektronika: konstrukcje, technologie, zastosowania, vol. 54, no. 3, pp. 92-96, 2013.
• E. Półrolniczak and M. Łazoryszczak, "Quality assessment of intonation of choir singers using f0 and trend lines for singing sequence," Metody Informatyki Stosowanej, pp. 259-268, 2011.
• E. PÓŁROLNICZAK and M. KRAMARCZYK, "Computer analysis of the noise component in the singing voice for assessing the quality of singing," Przegla˛d Elektrotechniczny, vol. 91, pp. 79-83, 2015.
• E. Półrolniczak and M. Kramarczyk, "Formant analysis in assessment of the quality of choral singers," in Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2013, Sept 2013, pp. 200-204.
• P. Zwan and B. Kostek, "System for automatic singing voice recognition," Journal of the Audio Engineering Society, vol. 56, no. 9, pp. 710-723, 2008.

Identyfikatory

DOI

10.15439/2015F240