Features for voice activity detection: a comparative analysis

In many speech signal processing applications, voice activity detection (VAD) plays an essential role for separating an audio stream into time intervals that contain speech activity and time intervals where speech is absent. Many features that reflect the presence of speech were introduced in litera...

Full description

Saved in:
Bibliographic Details
Published in:EURASIP journal on advances in signal processing 2015-11, Vol.2015 (1), p.1-15, Article 91
Main Authors: Graf, Simon, Herbig, Tobias, Buck, Markus, Schmidt, Gerhard
Format: Article
Language:English
Subjects:
Advances in adaptive filtering theory and applications to acoustic and speech signal processing
Engineering
Intervals
Modulation
Performance evaluation
Quantum Information Technology
Signal processing
Signal,Image and Speech Processing
Speech
Spintronics
Streams
Tradeoffs
Voice
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In many speech signal processing applications, voice activity detection (VAD) plays an essential role for separating an audio stream into time intervals that contain speech activity and time intervals where speech is absent. Many features that reflect the presence of speech were introduced in literature. However, to our knowledge, no extensive comparison has been provided yet. In this article, we therefore present a structured overview of several established VAD features that target at different properties of speech. We categorize the features with respect to properties that are exploited, such as power, harmonicity, or modulation, and evaluate the performance of some dedicated features. The importance of temporal context is discussed in relation to latency restrictions imposed by different applications. Our analyses allow for selecting promising VAD features and finding a reasonable trade-off between performance and complexity.
ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1186/s13634-015-0277-z