A dual-channel noise reduction algorithm based on the coherence function and the bionic wavelet
| Autor: | Noureddine Aloui, Wahbi Nabi, Adnane Cherif, Mohamed Ben Nasr |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Engineering
Acoustics and Ultrasonics business.industry Stationary wavelet transform Noise reduction Wavelet transform 020206 networking & telecommunications Pattern recognition 02 engineering and technology Filter (signal processing) 01 natural sciences Speech enhancement Noise Wavelet Computer Science::Sound 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Spectrogram Computer vision Artificial intelligence business 010301 acoustics |
| Zdroj: | Applied Acoustics. 131:186-191 |
| ISSN: | 0003-682X |
| DOI: | 10.1016/j.apacoust.2017.11.003 |
| Popis: | A dual-microphone noise reduction method is proposed in this paper. It is based on the coherence function and the bionic wavelet transform using Kalman filter. This filter is applied to the Bionic wavelet coefficients obtained through the application of the BWT to the input signal. The adopted method can treat noisy signals using two closely spaced microphones in different noise scenarios and outperforms other dual-channel speech enhancement methods referring to the perceptual evaluation of speech quality, the spectrogram analysis and the time domain waveforms. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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