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

For speaker recognition, it is difficult to extract an accurate speaker representation from
speech because of its mixture of speaker traits and content. This paper proposes a …

In this article, our recent efforts on directly modeling utterance-level aggregation for speaker
and language recognition is summarized. First, an on-the-fly data loader for efficient network …

This paper focuses on the application of Conformers in speaker verification. Conformers,
initially designed for Automatic Speech Recognition (ASR), excel at modeling both local and …

Text-independent speaker verification imposes no constraints on the spoken content and
usually needs long observations to make reliable prediction. In this paper, we propose two …

Pooling is an essential component to capture long-term speaker characteristics for speaker
recognition. This paper proposes simple but effective pooling methods to compute attentive …

Transformer models have demonstrated superior performance across various domains,
including computer vision, natural language processing, and speech recognition. The …

Silent Speech Interface (SSI) has been proposed as a means of reconstructing audible
speech from silent articulatory gestures for covert voice communication in public and voice …

Deep-learning-based continuous sign language recognition (CSLR) models typically consist
of a visual module, a sequential module, and an alignment module. However, the …

Silent Speech Interfaces (SSI) have been developed to convert silent articulatory gestures
into speech, aiding communication in public spaces and assisting individuals with aphasia …