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 (3, 4, 5)
AccessKey is your authentication and authorization token for deploying Picovoice SDKs, including Koala. 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 noise suppression 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.
Install the demo package:
pip3 install pvkoalademo
koala_demo_mic --access_key ${ACCESS_KEY} --output_path ${WAV_OUTPUT_PATH}
koala_demo_file \
--access_key ${ACCESS_KEY} \
--input_path ${WAV_INPUT_PATH} \
--output_path ${WAV_OUTPUT_PATH}
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console.
Using Android Studio, open demo/android/Activity as an Android project and then run the application.
Replace "${YOUR_ACCESS_KEY_HERE}"
in the file MainActivity.java with your AccessKey
.
Copy your AccessKey
into the ACCESS_KEY
variable inside ViewModel.swift
.
Before building the demo app, run the following from KoalaDemo
directory to install the Koala-iOS
CocoaPod:
pod install
Open KoalaDemo.xcodeproj and run the demo.
Build the demo:
cmake -S demo/c/ -B demo/c/build && cmake --build demo/c/build --target koala_demo_mic
To list the available audio input devices:
./demo/c/build/koala_demo_mic -s
To run the demo:
./demo/c/build/koala_demo_mic -l ${LIBRARY_PATH} -m ${MODEL_PATH} -a ${ACCESS_KEY} -o ${WAV_OUTPUT_PATH}
Replace ${LIBRARY_PATH}
with path to appropriate library available under lib, ${MODEL_PATH}
with path
to the model file available under lib/common, ${ACCESS_KEY}
with AccessKey
obtained from Picovoice Console, and ${WAV_OUTPUT_PATH}
with a path to a .wav
file
where the enhanced audio will be stored. Terminate the demo with Ctrl+C
.
For more information about C demos go to demo/c.
From demo/web run the following in the terminal:
yarn
yarn start
(or)
npm install
npm run start
Open http://localhost:5000
in your browser to try the demo.
Install the Python SDK:
pip3 install pvkoala
Create an instance of the engine and enhance audio in real-time:
import pvkoala
koala = pvkoala.create(access_key='${ACCESS_KEY}')
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console.
def get_next_audio_frame():
pass
while True:
enhanced_audio = koala.process(get_next_audio_frame())
Finally, when done be sure to explicitly release the resources using koala.delete()
.
To include the package in your Android project, ensure you have included mavenCentral()
in your top-level build.gradle
file and then add the following to your app's build.gradle
:
dependencies {
implementation 'ai.picovoice:koala-android:${LATEST_VERSION}'
}
Create an instance of the engine and enhance audio in real-time:
import ai.picovoice.koala.*;
final String accessKey = "${ACCESS_KEY}"; // AccessKey obtained from Picovoice Console (https://console.picovoice.ai/)
short[] getNextAudioFrame() {
// .. get audioFrame
return audioFrame;
}
try {
Koala koala = new Koala.Builder()
.setAccessKey(accessKey)
.build(appContext);
while true {
short[] enhancedFrame = koala.process(getNextAudioFrame());
};
} catch (KoalaException ex) { }
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console.
Create an instance of the engine and enhance audio:
import Koala
do {
let koala = try Koala(accessKey: "${ACCESS_KEY}")
} catch {}
func getNextAudioFrame() -> [Int16] {
// .. get a frame of audio
return audioFrame;
}
while true {
do {
let enhancedAudio = try koala.process(getNextAudioFrame())
// .. use enhanced audio
} catch {}
}
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console.
In case the next audio frame does not directly follow the previous one, call koala.reset()
.
When done be sure to explicitly release the resources using koala.delete()
.
include/pv_koala.h header file contains relevant information. Build an instance of the object:
pv_koala_t *handle = NULL;
const char *model_path = "${MODEL_PATH}";
pv_status_t status = pv_koala_init(${ACCESS_KEY}, model_path, &handle);
if (status != PV_STATUS_SUCCESS) {
// error handling logic
}
Replace ${ACCESS_KEY}
with the AccessKey obtained from Picovoice Console, and ${MODEL_PATH}
with the path to the
model file available under lib/common.
Now the handle
can be used to enhance audio in real-time:
extern const int16_t *get_next_audio_frame(void);
const int32_t frame_length = pv_koala_frame_length();
int16_t *enhanced_pcm = (int16_t *) malloc(frame_length * sizeof(int16_t));
while (true) {
const int16_t *pcm = get_next_audio_frame();
const pv_status_t status = pv_koala_process(handle, pcm, enhanced_pcm);
if (status != PV_STATUS_SUCCESS) {
// error handling logic
}
}
Finally, when done be sure to release the acquired resources:
pv_koala_delete(handle);
Install the web SDK using yarn:
yarn add @picovoice/koala-web
or using npm:
npm install --save @picovoice/koala-web
Create an instance of the engine using KoalaWorker
and enhance audio in real-time:
import { Koala } from "@picovoice/koala-web";
import koalaParams from "${PATH_TO_BASE64_KOALA_PARAMS}";
function processCallback(enhancedPcm) {
// do something with enhancedPcm
}
function getAudioData(): Int16Array {
... // function to get audio data
return new Int16Array();
}
const koala = await KoalaWorker.create(
"${ACCESS_KEY}",
processCallback,
{ base64: koalaParams },
);
await koala.reset();
for (;;) {
await koala.process(getAudioData());
}
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console. Finally, when done release the resources using koala.release()
.
- Improvements to error reporting
- Upgrades to authorization and authentication system
- Various bug fixes and improvements
- Web min support bumped to Node 16
- iOS support bumped to iOS 13
- Initial release