A review of speaker diarization: Recent advances with deep learning

TJ Park, N Kanda, D Dimitriadis, KJ Han… - Computer Speech & …, 2022 - Elsevier
Speaker diarization is a task to label audio or video recordings with classes that correspond
to speaker identity, or in short, a task to identify “who spoke when”. In the early years …

Spot the conversation: speaker diarisation in the wild

JS Chung, J Huh, A Nagrani, T Afouras… - ar** on-line speaker diarization system.
D Dimitriadis, P Fousek - Interspeech, 2017 - isca-archive.org
In this paper we describe the process of converting a research prototype system for Speaker
Diarization into a fully deployed product running in real time and with low latency. The …

Online end-to-end neural diarization with speaker-tracing buffer

Y Xue, S Horiguchi, Y Fujita… - 2021 IEEE Spoken …, 2021 - ieeexplore.ieee.org
This paper proposes a novel online speaker diarization algorithm based on a fully
supervised self-attention mechanism (SA-EEND). Online diarization inherently presents a …

End-to-end online speaker diarization with target speaker tracking

W Wang, M Li - arxiv preprint arxiv:2310.08696, 2023 - arxiv.org
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 …

Self-supervised representation learning with path integral clustering for speaker diarization

P Singh, S Ganapathy - IEEE/ACM Transactions on Audio …, 2021 - ieeexplore.ieee.org
Automatic speaker diarization techniques typically involve a two-stage processing approach
where audio segments of fixed duration are converted to vector representations in the first …

Online target speaker voice activity detection for speaker diarization

W Wang, Q Lin, M Li - arxiv preprint arxiv:2207.05920, 2022 - arxiv.org
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 …