pvcheetah 1.0.1

Cheetah Speech-to-Text Engine.

Cheetah Speech-to-Text Engine

Made in Vancouver, Canada by Picovoice

Cheetah is an on-device streaming speech-to-text engine. Cheetah 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 pvcheetah

AccessKey

AccessKey is your authentication and authorization token for deploying Picovoice SDKs, including Cheetah. 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 audio:

import pvcheetah

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

def get_next_audio_frame():
    pass

while True:
    partial_transcript, is_endpoint = handle.process(get_next_audio_frame())
    if is_endpoint:
        final_transcript = handle.flush()

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console. When done be sure to explicitly release the resources using handle.delete().

Demos

pvcheetahdemo provides command-line utilities for processing audio using Cheetah.