In this paper, we propose a speaker verification method by an Attentive Multi-scale
Convolutional Recurrent Network (AMCRN). The proposed AMCRN can acquire both local …

Although many efforts have been made on decreasing the model complexity for speaker
verification, it is still challenging to deploy speaker verification systems with satisfactory …

This paper presents an approach to targetclassification optimization based on acoustic
signals collected using a hydrophone, an underwater electroacoustic transducer. This study …

Although few-shot learning has attracted much attention from the fields of image and audio
classification, few efforts have been made on few-shot speaker identification. In the task of …

K-Nearest Neighbor (kNN)-based deep learning methods have been applied to many
applications due to their simplicity and geometric interpretability. However, the robustness of …

This report describes the submission from Technical University of Catalonia (UPC) to the
VoxCeleb Speaker Recognition Challenge (VoxSRC-20) at Interspeech 2020. The final …

Recent advances in Deep Learning (DL) for speaker recognition have improved the
performance but are constrained to the need of labels for the background data, which is …

In speaker recognition, i-vectors have been the state-of-the-art unsupervised technique over
the last few years, whereas x-vectors is becoming the state-of-the-art supervised technique …