Deep neural networks (DNN) techniques have become pervasive in domains such as
natural language processing and computer vision. They have achieved great success in …

Speaker individuality information is among the most critical elements within speech signals.
By thoroughly and accurately modeling this information, it can be utilized in various …

Single channel target speaker separation (TSS) aims at extracting a speaker's voice from a
mixture of multiple talkers given an enrollment utterance of that speaker. A typical deep …

Recent research in speaker verification has increasingly focused on achieving robust and
reliable recognition under challenging channel conditions and noisy environments …

Seismologists have to deal with overlap** and noisy signals. Techniques such as source
separation can be used to solve this problem. Over the past few decades, signal processing …

This paper proposes the target speaker enhancement based speaker verification network
(TASE-SVNet), an all neural model that couples target speaker enhancement and speaker …

Speech emotion recognition (SER) has widespread applications in human-computer
interaction. However, the performance of SER models often drops in domain mismatch …