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

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.

Author: Uhle, Christian
Affiliation: Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany
AES Convention:128 (May 2010) Paper Number:8035 Import into BibTeX
Subject:Audio Processing—Analysis and Synthesis of Sound

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