Speaker recognition is a task of identifying persons from their voices. Recently, deep
learning has dramatically revolutionized speaker recognition. However, there is lack of …

Deep neural network (DNN) embeddings for speaker recognition have recently attracted
much attention. Compared to i-vectors, they are more robust to noise and room …

The INTERSPEECH 2020 Far-Field Speaker Verification Challenge (FFSVC 2020)
addresses three different research problems under well-defined conditions: far-field text …

Despite the significant improvements in speaker recognition enabled by deep neural
networks, unsatisfactory performance persists under noisy environments. In this paper, we …

We propose a dynamic-margin softmax loss for the training of deep speaker embedding
neural network. Our proposal is inspired by the additive-margin softmax (AM-Softmax) loss …

In multi-speaker scenarios, speech processing tasks like speaker identification and speech
recognition are susceptible to noise and overlapped voices. As the overlapped voices are a …

Deep learning methods for language recognition have achieved promising performance.
However, most of the studies focus on frameworks for single types of acoustic features and …

In this paper, we present our system submitted to the Spoofing Aware Speaker Verification
Challenge (SASVC) 2022. Our submission focuses on bridging the gap between automatic …

The widespread adoption of wireless earbuds has advanced the developments in earable-
based sensing in various domains like entertainment, human-computer interaction, and …

Speaker verification system has gained great popularity in recent years, especially with the
development of deep neural networks and Internet of Things. However, the security of …