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Convention Paper

An Investigation of Low-Level Signal Descriptors Characterizing the Noise-Like Nature of an Audio Signal

Authors: Uhle, Christian

AES Convention 128 · Paper 8035 · May 2010

Abstract

This publication presents an overview and an evaluation of low-level features characterizing the noiselike or tonelike nature of an audio signal. Such features are widely used for content classification, segmentation, identification, coding of audio signals, blind source separation, speech enhancement and voice activity detection.

Besides the widely used Spectral Flatness Measure various alternative descriptors exist. These features are reviewed and the requirements for these features are discussed.

The features in scope are evaluated using synthetic signals and exemplarily real-world application related to audio content classification, namely voiced-unvoiced discrimination for speech signals and speech detection.

Details

Published in
AES Convention 128
AES Convention
128
Paper number
8035
Publication date
May 6, 2010
Session subject
Audio Processing—Analysis and Synthesis of Sound
Affiliation
Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany (See document for exact affiliation information.)
Type
Convention Paper