Picture for Hervé Bredin

Hervé Bredin

IRIT-SAMoVA, CNRS

Dissecting the Segmentation Model of End-to-End Diarization with Vector Clustering

Add code
Jun 13, 2025
Viaarxiv icon

On the calibration of powerset speaker diarization models

Add code
Sep 24, 2024
Viaarxiv icon

TalTech-IRIT-LIS Speaker and Language Diarization Systems for DISPLACE 2024

Add code
Jul 17, 2024
Viaarxiv icon

PixIT: Joint Training of Speaker Diarization and Speech Separation from Real-world Multi-speaker Recordings

Add code
Mar 04, 2024
Viaarxiv icon

Powerset multi-class cross entropy loss for neural speaker diarization

Add code
Oct 19, 2023
Viaarxiv icon

BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models

Add code
Jun 08, 2023
Figure 1 for BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Figure 2 for BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Figure 3 for BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Figure 4 for BabySLM: language-acquisition-friendly benchmark of self-supervised spoken language models
Viaarxiv icon

Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation

Add code
Oct 27, 2022
Figure 1 for Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
Figure 2 for Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
Figure 3 for Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
Figure 4 for Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50 room acoustics estimation
Viaarxiv icon

Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation

Add code
Sep 14, 2021
Figure 1 for Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
Figure 2 for Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
Figure 3 for Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
Figure 4 for Overlap-aware low-latency online speaker diarization based on end-to-end local segmentation
Viaarxiv icon

End-to-end speaker segmentation for overlap-aware resegmentation

Add code
Apr 08, 2021
Figure 1 for End-to-end speaker segmentation for overlap-aware resegmentation
Figure 2 for End-to-end speaker segmentation for overlap-aware resegmentation
Figure 3 for End-to-end speaker segmentation for overlap-aware resegmentation
Figure 4 for End-to-end speaker segmentation for overlap-aware resegmentation
Viaarxiv icon

A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification

Add code
Mar 31, 2020
Figure 1 for A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Figure 2 for A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Figure 3 for A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Figure 4 for A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification
Viaarxiv icon