| Autor: |
Yuval Konforti, Israel Cohen, Baruch Berdugo |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
IEEE Open Journal of Signal Processing, Vol 4, Pp 479-488 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2644-1322 |
| DOI: |
10.1109/OJSP.2023.3331228 |
| Popis: |
Acoustic echo cancellers are integrated into various speech communication devices, such as hands-free conferencing systems and speakerphones. Microphone arrays can be employed to enhance the performance of such systems, though they assume a static environment when transitioning to double-talk, and rely on double-talk detection. This work introduces a multichannel echo canceller implemented by a microphone array beamformer that can adapt to a changing environment where the locations of both the far-end and near-end sources change during double-talk, with no double-talk detector. This is done by utilizing multiple recent frames in the short-time Fourier transform (STFT) domain. We show how can the acoustic paths be accurately estimated given the recent time frames of the far-end and microphone signals. Also, our beamformer aims to reduce background noise. Simulations are conducted in a reverberant room with nonlinear loudspeaker distortion and realistic low signal-to-echo ratio (SER) resembling a speakerphone. The experiments demonstrate the advantages of the proposed approach compared to normalized least-mean-squares (NLMS) based approaches. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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