Channel prediction-based noise reduction algorithm for dual-microphone mobile phones

In this paper, a noise reduction algorithm for dual-microphone mobile phones is proposed, in which a frequency-domain channel prediction filter combined with a variable step-size scheme is utilized to adaptively estimate and suppress the coherent noise component in low-frequency region. To suppress...

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Veröffentlicht in:IEEE transactions on consumer electronics 2014-08, Vol.60 (3), p.393-401
Hauptverfasser: Lee Keunsang, Cho, Joseph, Youngcheol Park
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Youngcheol Park
description In this paper, a noise reduction algorithm for dual-microphone mobile phones is proposed, in which a frequency-domain channel prediction filter combined with a variable step-size scheme is utilized to adaptively estimate and suppress the coherent noise component in low-frequency region. To suppress the incoherent noise component, the proposed algorithm estimates a noise power spectral density (PSD) from the error signal of the channel prediction filter using a voice activity detection (VAD) scheme based on a SNR ratio between the two microphone signals. Computer simulations were performed using synthesized and recorded noises, and the results confirmed that the proposed algorithm obtains more accurate noise PSD especially in low-frequency band and better overall speech quality compared with the conventional algorithms.
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subjects Adaptive channel prediction
Algorithms
Cell phones
Channels
Density
Dual-microphone mobile phone
Estimates
Microphones
Mobile handsets
Noise
Noise reduction
Prediction algorithms
Signal to noise ratio
Spectra
Speech
Voice activity detection
title Channel prediction-based noise reduction algorithm for dual-microphone mobile phones
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