Recent developments in acoustic signal processing have seen the integration of deep
learning methodologies, alongside the continued prominence of classical wave expansion …

In recent years, significant advancements have been made in neural beamforming,
leveraging spectral and spatial cues to enhance their performance in multi-channel speech …

Although deep learning based beamformers have achieved promising performance using
small microphone arrays, they suffer from performance degradation in very challenging …

In this paper, we present HOMULA-RIR, a dataset of room impulse responses (RIRs)
acquired using both higher-order microphones (HOMs) and a uniform linear array (ULA), in …

Existing frame-wise neural beamformers for speech extraction can obtain promising
performance in relatively high signal-to-noise ratio (SNR) scenarios using small microphone …

The pervasive influence of digital media has brought about new challenges in verifying the
authenticity and integrity of audio recordings. The ease of editing and altering audio has …

We propose a novel adaptive steering technique that changes the target area of a spatial-
aware multi-microphone sound source separation algorithm during inference without the …

We present a novel approach to Near-field Acoustic Holography (NAH) with the introduction
of the Complex-Valued Kirchhoff-Helmholtz Convolutional Neural Network (CV-KHCNN) …

In recent years, significant advancements have been made in neural beamforming,
leveraging spectral and spatial cues to enhance their performance in multi-channel speech …

噪声功率谱密度矩阵的估计在波束形成中非常关键. 基于多通道语音存在概率(Multichannel
Speech Presence Probability, MCSPP) 估计噪声功率谱密度矩阵的方法 …