@picovoice/leopard-node
v2.0.4
Published
Picovoice Leopard Node.js binding
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Leopard Binding for Node.js
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), and Windows (x86_64)
- Android and iOS
- Chrome, Safari, Firefox, and Edge
- Raspberry Pi (3, 4, 5)
Compatibility
- Node.js 16+
- Runs on Linux (x86_64), macOS (x86_64, arm64), Windows (x86_64), and Raspberry Pi (3, 4, 5).
Installation
npm install @picovoice/leopard-node
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:
const { Leopard } = require("@picovoice/leopard-node");
const accessKey = "${ACCESS_KEY}"; // Obtained from the Picovoice Console (https://console.picovoice.ai/)
const audioPath = "${AUDIO_FILE_PATH}"
const leopard = new Leopard(accessKey);
const result = leopard.processFile(audioPath);
console.log(result.transcript);
Replace ${ACCESS_KEY}
with yours obtained from Picovoice Console and
${AUDIO_FILE_PATH}
to the path an audio file. Finally, when done be sure to explicitly release the resources using
leopard.release()
.
Language Model
The Leopard Node.js SDK comes preloaded with a default English language model (.pv
file).
Default models for other supported languages can be found in lib/common.
Create custom language models using the Picovoice Console. Here you can train language models with custom vocabulary and boost words in the existing vocabulary.
Pass in the .pv
file via the modelPath
parameter in the options
argument of the Leopard constructor:
const leopard = new Leopard(
accessKey,
{ modelPath: "${MODEL_FILE_PATH}"});
Word Metadata
Along with the transcript, Leopard returns metadata for each transcribed word. Available metadata items are:
- Start Time: Indicates when the word started in the transcribed audio. Value is in seconds.
- End Time: Indicates when the word ended in the transcribed audio. Value is in seconds.
- Confidence: Leopard's confidence that the transcribed word is accurate. It is a number within
[0, 1]
. - Speaker Tag: If speaker diarization is enabled on initialization, the speaker tag is a non-negative integer identifying unique speakers, with
0
reserved for unknown speakers. If speaker diarization is not enabled, the value will always be-1
.
Demos
Leopard Node.js demo package provides command-line utilities for processing audio using leopard.