Bat Spoken Language Identification
Web Quick Start

Platforms

• Chrome & Chromium-based browsers
• Edge
• Firefox
• Safari

Requirements

• Picovoice Account and AccessKey
• Node.js 18+
• 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 Bat Spoken Language Identification Web package:

npm install @picovoice/bat-web

Usage

Put the model file in the project's public directory or generate a base64 model using the built-in script:

npx pvbase64 -i ${BAT_PARAMS_PATH} -o ${OUTPUT_FILE_PATH}

Create a BatWorker instance using a base64 model or a model hosted in a public directory:

import { BatWorker } from "@picovoice/bat-web";
import batParams from "${BAT_PARAMS_BASE64_PATH}";

function scoresCallback(scores: BatScores | null) {
  if (scores !== null) {
    // take action based on scores
  }
}

const bat = await BatWorker.create(
  "${ACCESS_KEY}",
  scoresCallback,
  {
    base64: batParams,
    // or
    publicPath: "${MODEL_RELATIVE_PATH}",
  }
);

Subscribe BatWorker to WebVoiceProcessor to start processing audio frames:

import { WebVoiceProcessor } from "@picovoice/web-voice-processor"

WebVoiceProcessor.subscribe(bat);

Once done, unsubscribe to stop processing audio frames:

import { WebVoiceProcessor } from "@picovoice/web-voice-processor";

WebVoiceProcessor.unsubscribe(bat);

Release resources explicitly when done with Bat Spoken Language Identification:

await bat.release()

Demo

For the Bat Spoken Language Identification Web SDK, there is a Web demo project available on the Bat Spoken Language Identification GitHub repository.

Setup

Clone the Bat Spoken Language Identification repository from GitHub:

git clone --recurse-submodules https://github.com/Picovoice/bat.git

Usage

1. Install dependencies and run:

cd bat/demo/web
npm install

2. Run the demo with the start script.

npm run start

3. Open http://localhost:5000 to view it in the browser.

Resources