@inproceedings{993193b066794529b82864e04045ccaa,
title = "Extraction and analysis of voice samples based on short audio files",
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.",
keywords = "Heuristic algorithm, Key-point analysis, Short audio files, Short-Time Fourier Transform, Spectrograms, Voice defects",
author = "Dawid Po{\l}ap and Marcin Wo{\'z}niak",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd International Conference on Information and Software Technologies, ICIST 2017 ; Conference date: 12-10-2017 Through 14-10-2017",
year = "2017",
doi = "10.1007/978-3-319-67642-5\_35",
language = "English",
isbn = "9783319676418",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "422--431",
editor = "Robertas Damasevieius and Vilma Mikasyte",
booktitle = "Information and Software Technologies - 23rd International Conference, ICIST 2017, Proceedings",
address = "Germany",
}