EEG-based Attention-Driven Speech Enhancement for Noisy Speech Mixtures Using N-fold Multi-Channel Wiener Filters
| Autor: | Simon Van Eyndhoven, Tom Francart, Alexander Bertrand, Neetha Das |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sound localization
Voice activity detection SISTA Computer science Speech recognition 0206 medical engineering 02 engineering and technology Filter (signal processing) Intelligibility (communication) Speech processing 020601 biomedical engineering Speech enhancement Background noise 03 medical and health sciences Noise 0302 clinical medicine medicine.anatomical_structure medicine Auditory system 030217 neurology & neurosurgery |
| Zdroj: | Conference proceedings of EUSIPCO, Kos island, Greece, 2017 EUSIPCO ZENODO |
| DOI: | 10.5281/zenodo.1159426 |
| Popis: | © 2017 EURASIP. Hearing prostheses have built-in algorithms to perform acoustic noise reduction and improve speech intelligibility. However, in a multi-speaker scenario the noise reduction algorithm has to determine which speaker the listener is focusing on, in order to enhance it while suppressing the other interfering sources. Recently, it has been demonstrated that it is possible to detect auditory attention using electroencephalography (EEG). In this paper, we use multi-channel Wiener filters (MWFs), to filter out each speech stream from the speech mixtures in the microphones of a binaural hearing aid, while also reducing background noise. From the demixed and denoised speech streams, we extract envelopes for an EEG-based auditory attention detection (AAD) algorithm. The AAD module can then select the output of the MWF corresponding to the attended speaker. We evaluate our algorithm in a two-speaker scenario in the presence of babble noise and compare it to a previously proposed algorithm. Our algorithm is observed to provide speech envelopes that yield better AAD accuracies, and is more robust to variations in speaker positions and diffuse background noise. ispartof: pages:1660-1664 ispartof: Proc. of the 25th European Signal Processing Conference vol:2017-January pages:1660-1664 ispartof: EUSIPCO 2017 location:Kos, Greece date:Sep - Sep 2017 status: published |
| Databáze: | OpenAIRE |
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