Toeplitz Robust Noisy Speech Endpoint Detection

Abstract:

In this paper, under the conditions of low SNR speech endpoint detection, a feature based on the maximum value of Toeplitz Noise endpoint detection methods. Terms of the method of spectrum from the corresponding sequences with a symmetric Toeplitz matrix constructed using the maximum eigenvalue of the matrix information on the voice signal for dual endpoint detection threshold. New algorithm has been tested to effectively distinguish between speech and noise, low-noise in different environmental conditions has good robustness. With the recent recursive signal analysis methods, the accuracy is higher. The algorithm to calculate the cost of a small, real good, simple and easy to implement.

• Periodical: Applied Mechanics and Materials (Volumes 198-199)
• Pages: 1462-1468
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.198-199.1462
• Online since: September 2012
• Authors: Jing Fang Wang
• Keywords: Endpoint Detection, Largest Eigenvalue, Robustness, Speech Bandwidth Spectrum

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