Top Speaker Diarization Libraries and APIs in 2023

Speaker Diarization is a technology that automatically detects the number of speakers in an audio file and assigns words to the correct speaker. It breaks down an audio/video file into utterances, converts them into embeddings, and clusters them based on similarity to identify unique speakers. This process helps make transcriptions more readable and valuable by identifying individual speakers' behaviors and patterns. Some of the top Speaker Diarization libraries and APIs include AssemblyAI, PyAnnote, and Kaldi. Limitations of current models include their inability to work with real-time transcription and decreased accuracy when dealing with short speaker talk times or energetic conversations with significant background noise.

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