Shypd.aiThe largest open index of AI toolsSpectralCluster is an Audio & Music tool that re-implements spectral clustering algorithms. It is used in Google's speaker diarization papers for audio segmentation and clustering tasks.
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SpectralCluster is a Python-based open-source library that re-implements advanced spectral clustering algorithms, particularly those used in Google's speaker diarization research. It provides functionalities for speaker diarization, including refined Laplacian matrix calculations, constrained spectral clustering, and multi-stage clustering. The tool allows users to customize various parameters such as minimum and maximum clusters, Laplacian type, refinement operations, and distance metrics for K-Means. It also supports auto-tuning for optimal performance and offers fallback clusterers for smaller datasets or specific conditions. SpectralCluster is designed for researchers and developers working on speech recognition and audio analysis, offering both standard and streaming prediction capabilities.
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