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Erschienen in:
Multimodal Human-Robot Interaction from the Perspective of a Speech Scientist Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Automatic Sound Recognition of Urban Environment Events

verfasst von : Theodoros Theodorou, Iosif Mporas, Nikos Fakotakis

Erschienen in: Speech and Computer

Verlag: Springer International Publishing

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Abstract

The audio analysis of speaker’s surroundings has been a first step for several processing systems that enable speaker’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 %.

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Vorheriges Kapitel Automatic Preprocessing Technique for Detection of Corrupted Speech Signal Fragments for the Purpose of Speaker Recognition
Nächstes Kapitel Automatically Trained TTS for Effective Attacks to Anti-spoofing System
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Metadaten
Titel
Automatic Sound Recognition of Urban Environment Events
verfasst von
Theodoros Theodorou
Iosif Mporas
Nikos Fakotakis
Copyright-Jahr
2015
Buch
Speech and Computer

Print ISBN: 978-3-319-23131-0

Electronic ISBN: 978-3-319-23132-7

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-23132-7_16