Abstract
The article presents the results of signal analysis of the recorded singing voice samples. The analysis is performed towards the presence of the resonances in singing voices. To this end the LTAS (Long-Term Average Spectrum) have been estimated over the vocal samples. The LTAS has been then analysed to extract the valuable information to conclude about the quality of the singer’s voices. These studies are a part of a broader research on singing voice signal analysis. The results may contribute to the development of the diagnostics tools of computer analysis of singer’s and speaker’s voices.
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Półrolniczak, E., Kramarczyk, M. (2017). Vocal Tract Resonance Analysis Using LTAS in the Context of the Singer’s Level of Advancement. In: Kobayashi, Sy., Piegat, A., Pejaś, J., El Fray, I., Kacprzyk, J. (eds) Hard and Soft Computing for Artificial Intelligence, Multimedia and Security. ACS 2016. Advances in Intelligent Systems and Computing, vol 534. Springer, Cham. https://doi.org/10.1007/978-3-319-48429-7_23
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DOI: https://doi.org/10.1007/978-3-319-48429-7_23
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