https://scholars.lib.ntu.edu.tw/handle/123456789/637637
Title: | IANS: Intelligibility-Aware Null-Steering Beamforming for Dual-Microphone Arrays | Authors: | Ting, Wen Yuan Wang, Syu Siang Tsao, Yu BORCHING SU |
Keywords: | beamforming | microphone arrays | null-steering | STOI | STOI-Net | Issue Date: | 1-Jan-2023 | Journal Volume: | 2023-September | Source: | IEEE International Workshop on Machine Learning for Signal Processing, MLSP | Abstract: | Beamforming techniques are popular in speech-related applications because of their effective spatial filtering capabilities. Nonetheless, conventional beamforming techniques generally depend on the target's direction-of-arrival (DOA), relative transfer function (RTF), or covariance matrix. This study presents a new approach, the intelligibility-aware null-steering (IANS) beamforming framework, which uses the STOI-Net intelligibility prediction model to improve speech intelligibility without prior knowledge of the aforementioned speech signal parameters. The IANS framework combines a null-steering beamformer (NSBF) to generate a set of beamformed outputs, and STOI-Net, to determine the optimal result. The experimental results indicate that the IANS framework can produce intelligibility-enhanced signals using a small dual-microphone array. The results are comparable to those obtained by null-steering beamformers with a given knowledge of the DOAs. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/637637 | ISBN: | 9798350324112 | ISSN: | 21610363 | DOI: | 10.1109/MLSP55844.2023.10285913 |
Appears in Collections: | 電機工程學系 |
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