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

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 …

Despite achieving satisfactory performance in speaker verification using deep neural
networks, variable-duration utterances remain a challenge that threatens the robustness of …

This paper proposes a novel online speaker diarization algorithm based on a fully
supervised self-attention mechanism (SA-EEND). Online diarization inherently presents a …

In this study, we concentrate on replacing the process of extracting hand-crafted acoustic
feature with end-to-end DNN using complementary high-resolution spectrograms. As a …

In this paper, we present ECAPA2, a novel hybrid neural network architecture and training
strategy to produce robust speaker embeddings. Most speaker verification models are …

Common acoustic properties that different classes share degrades the performance of
acoustic scene classification systems. This results in a phenomenon where a few confusing …

The objective of this paper is to combine multiple frame-level features into a single utterance-
level representation considering pair-wise relationships. For this purpose, we propose a …

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

Supportive counseling skills like empathy and active listening are critical ingredients of all
psychotherapies, but most research relies on client or therapist reports of the treatment …