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
AccessKey is your authentication and authorization token for deploying Picovoice SDKs, including Leopard. Anyone who is using Picovoice needs to have a valid AccessKey. You must keep your AccessKey secret. You would need internet connectivity to validate your AccessKey with Picovoice license servers even though the voice recognition is running 100% offline.
AccessKey also verifies that your usage is within the limits of your account. Everyone who signs up for
Picovoice Console receives the Free Tier
usage rights described
here. If you wish to increase your limits, you can purchase a subscription plan.
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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