A Spectral Slit Approach to Doubletalk Detection

A new class of doubletalk detector based on exploiting a spectral slit is proposed. This is achieved by spectrally deleting a frequency band in the far-end signal such that when the near-end signal is present, only the near-end spectral information is present. The proposed method relies solely on th...

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Bibliographic Details
Published in:IEEE transactions on audio, speech, and language processing speech, and language processing, 2012-03, Vol.20 (3), p.1074-1080
Main Authors: Siow Yong Low, Venkatesh, S., Nordholm, S.
Format: Article
Language:English
Subjects:
Acoustic echo cancellation (AEC)
Acoustics
Applied sciences
Detection, estimation, filtering, equalization, prediction
Detectors
doubletalk detector
Estimation
Exact sciences and technology
Indexes
Information, signal and communications theory
Miscellaneous
Noise
Signal and communications theory
Signal processing
Signal, noise
spectral slit
Speech
Speech processing
Telecommunications and information theory
Time frequency analysis
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Description
Summary:A new class of doubletalk detector based on exploiting a spectral slit is proposed. This is achieved by spectrally deleting a frequency band in the far-end signal such that when the near-end signal is present, only the near-end spectral information is present. The proposed method relies solely on the detection of speech activity period in the slit area, and significantly, it requires no estimation of the echo path. Evaluation in typical acoustic echo setups shows that the proposed method outperforms other conventional doubletalk detectors in terms of probability of miss detection even under poor echo-to-noise ratio (ENR), low echo-to-far-end ratio (EFR) conditions, and echo path change.
ISSN:1558-7916
2329-9290
1558-7924
2329-9304
DOI:10.1109/TASL.2011.2168210