3 papers
eess.AS2021
Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
Juan M. Coria, Hervé Bredin, Sahar Ghannay +1
We propose to address online speaker diarization as a combination of incremental clustering and local diarization applied to a rolling buffer updated every 500ms. Every single step…
cs.LG2020
A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Juan M. Coria, Hervé Bredin, Sahar Ghannay +1
Despite the growing popularity of metric learning approaches, very little work has attempted to perform a fair comparison of these techniques for speaker verification. We try to fi…
eess.AS2019
pyannote.audio: neural building blocks for speaker diarization
Hervé Bredin, Ruiqing Yin, Juan Manuel Coria +7
We introduce pyannote.audio, an open-source toolkit written in Python for speaker diarization. Based on PyTorch machine learning framework, it provides a set of trainable end-to-en…