Dual-Channel Speech Enhancement Based on Extended Kalman Filter Relative Transfer Function Estimation †
1
Department of Signal Theory, Telematics and Communications, University of Granada, 18071 Granada, Spain
2
Department of Electronic Systems, Aalborg University, 9220 Aalborg, Denmark
*
Author to whom correspondence should be addressed.
†
This paper is an extended version of our paper published in the conference IberSPEECH2018.
Appl. Sci. 2019, 9(12), 2520; https://doi.org/10.3390/app9122520
Received: 4 May 2019
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Revised: 15 June 2019
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Accepted: 17 June 2019
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Published: 20 June 2019
(This article belongs to the Special Issue IberSPEECH 2018: Speech and Language Technologies for Iberian Languages)
This paper deals with speech enhancement in dual-microphone smartphones using beamforming along with postfiltering techniques. The performance of these algorithms relies on a good estimation of the acoustic channel and speech and noise statistics. In this work we present a speech enhancement system that combines the estimation of the relative transfer function (RTF) between microphones using an extended Kalman filter framework with a novel speech presence probability estimator intended to track the noise statistics’ variability. The available dual-channel information is exploited to obtain more reliable estimates of clean speech statistics. Noise reduction is further improved by means of postfiltering techniques that take advantage of the speech presence estimation. Our proposal is evaluated in different reverberant and noisy environments when the smartphone is used in both close-talk and far-talk positions. The experimental results show that our system achieves improvements in terms of noise reduction, low speech distortion and better speech intelligibility compared to other state-of-the-art approaches.
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Keywords:
dual-microphone smartphone; beamforming; relative transfer function; speech presence probability; postfiltering
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MDPI and ACS Style
Martín-Doñas, J.M.; Peinado, A.M.; López-Espejo, I.; Gomez, A. Dual-Channel Speech Enhancement Based on Extended Kalman Filter Relative Transfer Function Estimation. Appl. Sci. 2019, 9, 2520. https://doi.org/10.3390/app9122520
AMA Style
Martín-Doñas JM, Peinado AM, López-Espejo I, Gomez A. Dual-Channel Speech Enhancement Based on Extended Kalman Filter Relative Transfer Function Estimation. Applied Sciences. 2019; 9(12):2520. https://doi.org/10.3390/app9122520
Chicago/Turabian StyleMartín-Doñas, Juan M., Antonio M. Peinado, Iván López-Espejo, and Angel Gomez. 2019. "Dual-Channel Speech Enhancement Based on Extended Kalman Filter Relative Transfer Function Estimation" Applied Sciences 9, no. 12: 2520. https://doi.org/10.3390/app9122520
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