A noise estimator with rapid adaptation in variable-level noisy environments

Bing Fei Wu, Kun Ching Wang*, Lung Yi Kuo

*此作品的通信作者

研究成果: Paper同行評審

摘要

In this paper, a noise estimator with rapid adaptation in a variable-level noisy environment is presented. To make noise estimation adapt quickly to highly non-stationary noise environments, a robust voice activity detector (VAD) is utilized in this paper and it depends on the variation of the spectral energy not on the amount of that. The noise power spectrum in subbands are estimated by averaging past spectral power values using a time and frequency dependent smoothing parameter, which is chosen as a sigmoid function changing with speech-present probability in subbands. The speech-present probability is determined by computing the ratio of the noisy speech power spectrum to its local minimum. Noise measurement, speech enhancement, spectral analysis, signal process.

原文English
出版狀態Published - 2021

指紋

深入研究「A noise estimator with rapid adaptation in variable-level noisy environments」主題。共同形成了獨特的指紋。

引用此