Shypd.aiThe largest open index of AI toolswespeaker is an open-source toolkit for speaker verification, recognition, and diarization. It is designed for both research and production, focusing on speaker embedding learning with support for online feature extraction.
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wespeaker is a comprehensive, open-source toolkit primarily focused on speaker embedding learning, with applications in speaker verification, recognition, and diarization. It supports both online feature extraction and the loading of pre-extracted features in Kaldi format. The toolkit offers command-line and Python programming interfaces for tasks like embedding extraction, similarity computation, and diarization. It boasts continuous development with recent updates including support for various models like w2v-bert2, Xi-vector, SimAM_ResNet, and Whisper-PMFA, as well as advanced features like quality-aware score calibration and MNN inference engine integration. wespeaker also provides detailed recipes for popular datasets like VoxCeleb, CnCeleb, and NIST SRE16, making it a robust solution for researchers and developers in the speech technology domain.
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