Leopard Speech-to-Text
Node.js Quick Start

Platforms

• Linux (x86_64)
• macOS (x86_64, arm64)
• Windows (x86_64)
• NVIDIA Jetson Nano
• Raspberry Pi (3, 4)

Requirements

• Picovoice Account & AccessKey
• Node.js 10+
• npm

Picovoice Account & AccessKey

Signup or Login to Picovoice Console to get your AccessKey. Make sure to keep your AccessKey secret.

Quick Start

Setup

1. Install Node.js .

2. Install the leopard-node npm package:

npm install @picovoice/leopard-node

Usage

Create an instance of the engine:

const Leopard = require("@picovoice/leopard-node");

const accessKey = "${ACCESS_KEY}";
const leopard = new Leopard(accessKey);

Transcribe an audio file by providing an absolute path to the file:

const { transcript, words } = leopard.processFile("${AUDIO_FILE_PATH}");

Transcribe raw audio data (sample rate of 16 kHz, 16-bit linearly encoded and 1 channel):

const getAudioData = () => {
  // ...
}

const { transcript, words } = leopard.process(getAudioData());

Free resources used by Leopard:

leopard.delete()

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 the Leopard GitHub repository .

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 handle = new Leopard(accessKey, { modelPath: "${MODEL_PATH}"});

Demo

For the Leopard Node.js SDK, we offer demo applications that demonstrate how to use the Speech-to-Text engine on audio files.

Setup

Install the Leopard demo package :

npm install -g @picovoice/leopard-node-demo

This package installs command-line utilities for the Leopard Nodejs demos.

Usage

Use the --help flag to see the usage options for the demo:

leopard-file-demo --help

Run the following command to transcribe an audio file:

leopard-file-demo --access_key ${ACCESS_KEY}
                  --input_audio_file_path ${AUDIO_PATH}

For more information on our Leopard demos for Nodejs, head over to our GitHub repository .

Resources