DIHARD III was the third in a series of speaker diarization challenges intended to improve
the robustness of diarization systems to variability in recording equipment, noise conditions …

We performed an experimental review of current diarization systems for the conversational
telephone speech (CTS) domain. In detail, we considered a total of eight different algorithms …

Until recently, the field of speaker diarization was dominated by cascaded systems. Due to
their limitations, mainly regarding overlapped speech and cumbersome pipelines, end-to …

This paper investigates an end-to-end neural diarization (EEND) method for an unknown
number of speakers. In contrast to the conventional cascaded approach to speaker …

Recently, we proposed a novel speaker diarization method called End-to-End-Neural-
Diarization-vector clustering (EEND-vector clustering) that integrates clustering-based and …

Target-speaker voice activity detection is currently a promising approach for speaker
diarization in complex acoustic environments. This paper presents a novel Sequence-to …

Attractor-based end-to-end diarization is achieving comparable accuracy to the carefully
tuned conventional clustering-based methods on challenging datasets. However, the main …

End-to-end neural diarization (EEND) is nowadays one of the most prominent research
topics in speaker diarization. EEND presents an attractive alternative to standard cascaded …

In this paper, we propose a neural speaker diarization (NSD) network architecture consisting
of three key components. First, a memory-aware multi-speaker embedding (MA-MSE) …

In this paper, we present a novel framework that jointly performs three tasks: speaker
diarization, speech separation, and speaker counting. Our proposed framework integrates …