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Leopard Speech-to-Text Engine.

Project description

Leopard Speech-to-Text Engine

Made in Vancouver, Canada by Picovoice

Leopard is an on-device speech-to-text engine. Leopard is:

  • Private; All voice processing runs locally.
  • Accurate [1]
  • Compact and Computationally-Efficient [2]
  • Cross-Platform:
    • Linux (x86_64)
    • macOS (x86_64, arm64)
    • Windows (x86_64)
    • Android
    • iOS
    • Raspberry Pi (4, 3)
    • NVIDIA Jetson Nano

Compatibility

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

Installation

pip3 install pvleopard

AccessKey

Leopard requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Leopard 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 transcribe an audio file:

import pvleopard

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

print(handle.process_file('${AUDIO_PATH}'))

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

pvleoparddemo provides command-line utilities for processing audio using Leopard.

Project details


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pvleopard-1.0.6.tar.gz (20.7 MB view hashes)

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pvleopard-1.0.6-py3-none-any.whl (20.7 MB view hashes)

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