Title :
A Spectral Slit Approach to Doubletalk Detection
Author :
Low, Siow Yong ; Venkatesh, Svetha ; Nordholm, Sven
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Miri, Malaysia
fDate :
3/1/2012 12:00:00 AM
Abstract :
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.
Keywords :
acoustic signal detection; echo suppression; probability; speech processing; EFR condition; ENR condition; acoustic echo setups; doubletalk detection; echo path change; echo-to-far-end ratio; echo-to-noise ratio; far-end signal; miss-detection probability; near-end signal; near-end spectral information; spectral slit approach; speech activity period detection; Acoustics; Detectors; Estimation; Indexes; Noise; Speech; Time frequency analysis; Acoustic echo cancellation (AEC); doubletalk detector; spectral slit;
Journal_Title :
Audio, Speech, and Language Processing, IEEE Transactions on
DOI :
10.1109/TASL.2011.2168210