@inproceedings{8c2a6a82803341fd88c12b76c5b81821,
title = "Automatic sound recognition of urban environment events",
abstract = "The audio analysis of speaker{\textquoteright}s surroundings has been a first step for several processing systems that enable speaker{\textquoteright}s mobility though his daily life. These algorithms usually operate in a short-time analysis decomposing the incoming events in time and frequency domain. In this paper, an automatic sound recognizer is studied, which investigates audio events of interest from urban environment. Our experiments were conducted using a close set of audio events from which well known and commonly used audio descriptors were extracted and models were training using powerful machine learning algorithms. The best urban sound recognition performance was achieved by SVMs with accuracy equal to approximately 93\%.",
keywords = "Automatic sound recognition, Dimensionality redundancy, Urban environment",
author = "Theodoros Theodorou and Iosif Mporas and Nikos Fakotakis",
year = "2015",
month = jan,
day = "1",
doi = "10.1007/978-3-319-23132-7\_16",
language = "English",
isbn = "9783319231310",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature ",
pages = "129--136",
editor = "Andrey Ronzhin and Rodmonga Potapova and Nikos Fakotakis",
booktitle = "Speech and Computer - 17th International Conference, SPECOM 2015, Proceedings",
address = "Netherlands",
note = "17th International Conference on Speech and Computer, SPECOM 2015 ; Conference date: 20-09-2015 Through 24-09-2015",
}