Since its introduction in 2019, the whole end-to-end neural diarization (EEND) line of work
has been addressing speaker diarization as a frame-wise multi-label classification problem …

pyannote. audio is an open-source toolkit written in Python for speaker diarization. Version
2.1 introduces a major overhaul of pyannote. audio default speaker diarization pipeline …

Speech activity detection (SAD) is an essential component of automatic speech recognition
systems impacting the overall system performance. This paper investigates an optimization …

Speech is an easy and usable technique of communication between humans, but nowadays
humans are not limited to connecting to each other but even to the different machines in our …

This technical report describes the submission of team pyannote to the VoxSRC 2023
speaker diarization challenge. It relies on 3 stages: local end-to-end neural speaker …

Speech recognition is a technique that enables machines to automatically identify the
human voice through speech signals. In other words, it helps create a communication link …

The REPERE Challenge aims to support research on people recognition in multimodal
conditions. Following a 2012 dryrun [1], the first official evaluation of systems has been …

Nowadays, the large amount of audio-visual content available has fostered the need to
develop new robust automatic speaker diarization systems to analyse and characterise it …

A speech database has been collected for use to highlight the importance of “speaker factor”
in forensic voice comparison. FABIOLE has been created during the FABIOLE project …

Identifying speakers in TV broadcast in an unsupervised way (ie, without biometric models)
is a solution for avoiding costly annotations. Existing methods usually use pronounced …