Optimal subband Kalman filter for normal and oesophageal speech enhancement

被引：2

作者：

Ishaq, Rizwan ^{[1
]}

Garcia Zapirain, Begona ^{[1
]}

机构：

[1] Univ Deusto, Deustotech LIFE, Bilbao, Spain

来源：

BIO-MEDICAL MATERIALS AND ENGINEERING | 2014年 / 24卷 / 06期

关键词：

Kalman filter; autoregressive; speech enhancement; weighted linear prediction; NOISE;

D O I：

10.3233/BME-141183

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

This paper presents the single channel speech enhancement system using subband Kalman filtering by estimating optimal Autoregressive (AR) coefficients and variance for speech and noise, using Weighted Linear Prediction (WLP) and Noise Weighting Function (NWF). The system is applied for normal and Oesophageal speech signals. The method is evaluated by Perceptual Evaluation of Speech Quality (PESQ) score and Signal to Noise Ratio (SNR) improvement for normal speech and Harmonic to Noise Ratio (HNR) for Oesophageal Speech (OES). Compared with previous systems, the normal speech indicates 30% increase in PESQ score, 4 dB SNR improvement and OES shows 3 dB HNR improvement.

引用

页码：3569 / 3578

页数：10

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