Speaker Diarization

Speaker diarization answers the question 'who spoke when?' in a meeting or conversation with multiple participants. Advanced diarization models use voice embeddings, spectral clustering, and neural speaker verification to distinguish between speakers even when they talk over each other. This is critical for meeting transcription tools that need to attribute statements to specific team members. Many cloud-based tools store all meeting audio on their servers to perform diarization — CoScript handles multi-speaker scenarios while keeping your audio private and never storing recordings in the cloud.