This model integrates pyannote and wespeaker technologies trained on the VoxCeleb dataset. It produces speaker embeddings and supports speaker diarization and verification tasks. It is distributed as an open-weight model for use with PyTorch.
In the Other AI space, Pyannote Wespeaker Voxceleb Resnet34 LM takes a focused approach. It focuses on identifying and separating different speakers within an audio recording. Pyannote Wespeaker Voxceleb Resnet34 LM is an open-source project aimed at developers. The project is open source (Open Source). The product ships for the web and API.
It is developed by Revai, and the product first shipped in 2023.
Latest indexed changes and source events
Revai/pyannote-wespeaker-voxceleb-resnet34-LM verified by the PulseGate indexer
