Recently, the standard variational autoencoder has been successfully used to learn a
probabilistic prior over speech signals, which is then used to perform speech enhancement …

The Internet of Things (IoT)-based passive acoustic monitoring (PAM) has shown great
potential in large-scale remote bird monitoring. However, field recordings often contain …

Recent studies indicate the effectiveness of deep learning (DL) based methods for acoustic
echo cancellation (AEC) in background noise and nonlinear distortion scenarios. However …

The rapid advancement of artificial intelligence has observed increased application in
predicting vehicle interior noise levels within the automotive industry. However, the …

摘要在频域操作的联合盲源分离算法可以有效解决频点间的内部排序问题, 然而对于输出通道的
排序, 即全局排序, 现有的基于频域的联合盲源分离算法仍无法有效确定. 使用基于变分自编码器 …

In this paper, we discuss the role of separating speech signals in verifying the speaker
effectively under conditions like background noise and multi-speaker environment. The key …

This thesis describes a unified statistical approach to joint multichannel source separation
and dereverberation. This technique is useful as a front end of various audio applications …