Picovoice/falcon

On-device speaker diarization powered by deep learning

45
/ 100
Emerging

This tool helps you analyze audio recordings by identifying and separating different speakers. It takes an audio file as input and outputs segments of who spoke when, making it easier to transcribe or review conversations. It's designed for anyone who needs to quickly understand multi-speaker interactions within audio, like researchers, journalists, or call center managers.

Use this if you need to automatically determine who spoke when in an audio recording, without sending your data to external cloud services.

Not ideal if you only need a basic transcription and don't require speaker identification or if your audio quality is extremely poor.

audio-analysis speech-processing meeting-minutes interview-analysis call-center-analytics
No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 11 / 25

How are scores calculated?

Stars

69

Forks

7

Language

Python

License

Apache-2.0

Last pushed

Mar 02, 2026

Commits (30d)

0

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