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

A method to perform offline and online speaker diarization for an unlimited number of
speakers is described in this paper. End-to-end neural diarization (EEND) has achieved …

Diarization is an important task when work with audiodata is executed, as it provides a
solution to the problem related to the need of dividing one analyzed call recording into …

We propose a streaming diarization method based on an end-to-end neural diarization
(EEND) model, which handles flexible numbers of speakers and overlapping speech. In our …

The performance of most speaker diarization systems with x-vector embeddings is both
vulnerable to noisy environments and lacks domain robustness. Earlier work on speaker …

We propose a novel online speaker diarization approach based on the VBx algorithm which
works well on the offline speaker diarization tasks. To efficiently process long-time …

This paper proposes an online target speaker voice activity detection system for speaker
diarization tasks, which does not require a priori knowledge from the clustering-based …

This paper proposes an online target speaker voice activity detection system for speaker
diarization tasks, which does not require a priori knowledge from the clustering-based …

Speaker Change Detection (SCD) is the task of segmenting an input audio-recording
according to speaker interchanges. Nowadays, many applications, such as Speaker …