5 Best Open Source Libraries and APIs for Speaker Diarization

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • pyannote-audio

    Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

  • Similar to Kaldi ASR, PyAnnote is another open source Speaker Diarization toolkit, written in Python and built based on the PyTorch Machine Learning framework.

  • Kaldi Speech Recognition Toolkit

    kaldi-asr/kaldi is the official location of the Kaldi project.

  • Kaldi ASR is a well-known open source Speech Recognition platform. To use its Speaker Diarization library, you’ll need to either download their PLDA backend or pre-trained X-Vectors, or train your own models.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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