whisper-onnx-speech-to-text

whisper-onnx-speech-to-text

Transcribe speech to text on node.js using OpenAI's Whisper models converted to cross-platform ONNX format

Installation

1. Add dependency to project

npm install whisper-onnx-speech-to-text

1. Download whisper model of choice

npx whisper-onnx-speech-to-text download

Usage

import { initWhisper } from 'whisper-onnx-speech-to-text';

const whisper = await initWhisper("base.en");

const transcript = await whisper.transcribe("example/sample.wav");

Result (JSON)

[
  {
    text: " And so my fellow Americans ask not what your country can do for you, ask what you can do for your country."
    chunks: [
       { timestamp: [0, 8.18],  text: " And so my fellow Americans ask not what your country can do for you" },
       { timestamp: [8.18, 11.06], text: " ask what you can do for your country." }
    ]
  }
]

API

initWhisper

The initWhisper() takes the name of the model and returns an instance of the Whisper class initialized with the chosen model.

Whisper

The Whisper class has the following methods:

1. transcribe(filePath: string, language?: string) : transcribes speech from wav file.

Parameters:

• filePath: path to wav file
• language: target language for recognition. Name format - the full name in English like 'spanish'

2. disposeModel() : dispose initialized model.

Made with

• Transformers.js
• ShellJS