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Falcon Speaker Diarization Engine

Project description

Falcon Binding for Python

Falcon Speaker Diarization Engine

Made in Vancouver, Canada by Picovoice

Falcon is an on-device speaker diarization engine. Falcon is:

  • Private; All voice processing runs locally.
  • Cross-Platform:
    • Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
    • Raspberry Pi (4, 3) and NVIDIA Jetson Nano

Compatibility

  • Python 3.7+
  • Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (4, 3), and NVIDIA Jetson Nano.

Installation

pip3 install pvfalcon

AccessKey

Falcon requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Falcon SDKs. You can get your AccessKey for free. Make sure to keep your AccessKey secret. Signup or Login to Picovoice Console to get your AccessKey.

Usage

Create an instance of the engine and perform speaker diarization on an audio file:

import pvfalcon

handle = pvfalcon.create(access_key='${ACCESS_KEY}')

segments = handle.process_file('${AUDIO_PATH}')
for segment in segments:
    print("{speaker tag=%d - start_sec=%.2f end_sec=%.2f}" 
          % (segment.speaker_tag, segment.start_sec, segment.end_sec))

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console and ${AUDIO_PATH} to the path an audio file. Finally, when done be sure to explicitly release the resources using handle.delete().

Demos

pvfalcondemo provides command-line utilities for processing audio using Falcon.

Project details


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pvfalcon-1.0.1.tar.gz (14.7 MB view hashes)

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pvfalcon-1.0.1-py3-none-any.whl (14.7 MB view hashes)

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