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Robust Speech Endpoint Detection in Airplane Cockpit Voice Background
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Wireless Sensor Network·Volume 01 (2009)·Pages 489–495·Published 15 December 2009·DOI10.4236/wsn.2009.15059
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Abstract
A method of robust speech endpoint detection in airplane cockpit voice background is presented. Based on the analysis of background noise character, a complex Laplacian distribution model directly aiming at noisy speech is established. Then the likelihood ratio test based on binary hypothesis test is carried out. The decision criterion of conventional maximum a posterior incorporating the inter-frame correlation leads to two separate thresholds. Speech endpoint detection decision is finally made depend on the previous frame and the observed spectrum, and the speech endpoint is searched based on the decision. Compared with the typical algorithms, the proposed method operates robust in the airplane cockpit voice background.
KeywordsComplex Laplacian ModelMaximum A Posterior CriterionLikelihood Ratio TestSpeech End- point DetectionAirplane Cockpit Voice
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