This SpeechBrain model computes speaker embeddings using the ECAPA-TDNN architecture trained on the VoxCeleb dataset. It supports speaker verification, identification, and diarization tasks. The model can be used directly with the SpeechBrain library for research and production audio applications.
In the Other AI space, Spkrec Ecapa Voxceleb takes a focused approach. Lack of ready-to-use high-performance speaker embedding models for verification and identification. Spkrec Ecapa Voxceleb is an open-source project aimed at developers and speech researchers. The project is open source (Apache-2.0). Spkrec Ecapa Voxceleb is available on the web, the command line, and API.
SpeechBrain builds and maintains Spkrec Ecapa Voxceleb, and it first shipped in 2020. The project is developed in the open on GitHub with 11.7k stars and 4 commits in the last 90 days. Key capabilities include Speaker Verification, Speaker Embeddings, and ECAPA-TDNN.
Summary written by a language model from the project’s public pages.
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