pvkoala 2.0.1

Koala Noise Suppression Engine.

Koala Binding for Python

Koala Noise Suppression Engine

Made in Vancouver, Canada by Picovoice

Koala is an on-device noise suppression engine. Koala is:

• Private; All voice processing runs locally.
• Cross-Platform:
  • Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64)
  • Android and iOS
  • Chrome, Safari, Firefox, and Edge
  • Raspberry Pi (5, 4, 3) and NVIDIA Jetson Nano

Compatibility

• Python 3.7 or higher
• Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), Raspberry Pi (5, 4, 3), and NVIDIA Jetson Nano.

Installation

pip3 install pvkoala

AccessKey

Koala requires a valid Picovoice AccessKey at initialization. AccessKey acts as your credentials when using Koala 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 enhance audio:

import pvkoala

koala = pvkoala.create(access_key='${ACCESS_KEY}')

def get_next_audio_frame():
    pass

while True:
    enhanced_audio = koala.process(get_next_audio_frame())

Replace ${ACCESS_KEY} with yours obtained from Picovoice Console. The input audio must come from a single-channel stream with integer 16-bit encoding. The sample rate must be identical to koala.sample_rate. The stream must be split into frames with a fixed length in samples that can be obtained from koala.frame_length.

The output of koala.process() is a frame of enhanced audio with the same 16-bit integer encoding. The delay in samples between the start time of the input frame and the start time of the output frame can be attained from koala.delay_sample.

In case the next audio frame does not directly follow the previous one, call koala.reset(). When done be sure to explicitly release the resources using koala.delete().

Demos

pvkoalademo provides command-line utilities for processing audio using Koala.