Abstract
Some voice defects may be removed from a recording in such a way that the remainder of the sample contains only the relevant data. However processing of input sounds to achieve this goal requires methodology that will be able to distinguish between clear sound and noise. In this paper, we propose data extraction technique and defect analysis. Developed methodology may allow for possible use in various life support systems, where sounds are processed to verify identity, control, communicate, etc. Proposed method has been tested and compared to other indirect methods.
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Acknowledgments
Authors acknowledge contribution to this project to the Diamond Grant 2016 No. 0080/DIA/2016/45 funded by the Polish Ministry of Science and Higher Education.
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Połap, D., Woźniak, M. (2017). Extraction and Analysis of Voice Samples Based on Short Audio Files. In: Damaševičius, R., Mikašytė, V. (eds) Information and Software Technologies. ICIST 2017. Communications in Computer and Information Science, vol 756. Springer, Cham. https://doi.org/10.1007/978-3-319-67642-5_35
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