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Optimal subband Kalman filter for normal and oesophageal speech enhancement

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 3rd International Conference on Biomedical Engineering and Biotechnology, 25–28 September 2014, Beijing, China

Article type: Research Article

Authors: Ishaq, Rizwan; | García Zapirain, Begoña

Affiliations: Deustotech-LIFE, University of Deusto, Bilbao, Spain

Note: [] Corresponding author: Rizwan Ishaq, Deustotech-LIFE, University of Deusto, Bilbao, Spain. Tel.: +34 94 413 90 03; Fax: +34 94 413 90 03; E-mail: rizwanishaq@deusto.es.

Keywords: Kalman filter, autoregressive, speech enhancement, weighted linear prediction

DOI: 10.3233/BME-141183

Journal: Bio-Medical Materials and Engineering, vol. 24, no. 6, pp. 3569-3578, 2014

Published: 2014
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Abstract

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.

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