In practical settings, a speaker recognition system needs to identify a speaker given a short
utterance, while the enrollment utterance may be relatively long. However, existing speaker …

With the rapid development of AI hardware accelerators, applying deep learning-based
algorithms to solve various low-level vision tasks on mobile devices has gradually become …

The present study proposes a novel deep-learning model for remote sensing image
enhancement. It maintains image details while enhancing brightness in the feature …

The recently proposed self-attentive pooling (SAP) has shown good performance in several
speaker recognition systems. In SAP systems, the context vector is trained end-to-end …

Low-light image enhancement is widely used in many fields, such as target detection, face
recognition, and image segmentation. In recent years, Deep Learning methods have …

In this paper, we propose a light-weight speaker verification (SV) system that utilizes the
characteristics of utterancelevel global features. Many recent SV tasks employ convolutional …

This paper proposes a method for extracting speaker embedding for each speaker from a
variable-length recording containing multiple speakers. Speaker embeddings are crucial not …

Speaker extraction is a technique that separates the target speech from multi-talker mixtures
using a priori information about the target speaker, such as pre-enrolled reference speech …