speech-splitter 0.0.3

A command-line tool to split a speech audio into separate sentences for language learners.

Speech Splitter

Description

Speech Splitter is a command-line tool designed to split a speech audio into separate sentences. This tool aims to make it easier for language learners to train the hearing, pronounciation and word accents.

[!WARNING] It uses OpenAI API and requires an API key to work, which is not provided with the package. It can also be quite expensive to use, depending on the size of the provided source.

Motivation

This tool was developed by request of a Dutch teacher. She wanted to have a tool that would split the audio of a provided source into separate sentences, so that the students could listen to each sentence separately and repeat after it.

Installation

To install Speech Splitter, follow these steps:

pip install speech-splitter

It also requires ffmpeg to be installed on your system. You can install it using the following command (for Ubuntu):

sudo apt-get install ffmpeg or (for macOS or Windows) brew install ffmpeg or (for Windows) choco install ffmpeg

Usage

After installation, you can use the Speech Splitter tool directly from your command line. The basic command structure is as follows:

export OPENAI_API_KEY=your_api_key

Optionally, set the organization ID if you have one:

export OPENAI_ORG_ID=your_org_id

Run the command:

speech-split --help

Example Commands

speech-split audio.mp3 ./output

This command will read audio.mp3, get the transcription, split it into sentences, align the audio fragments accordingly, and save the result as output/audio.html, that can be viewed by the browser.

speech-split video.mp4 ./output

This command will read video.mp4, split the audio, get the transcription, split it into sentences, align the audio fragments accordingly, and save the result as output/video.html, that can be viewed by the browser.

speech-split text.txt ./output

This command will read text.txt, convert text too speech, get the transcription, split it into sentences, align the audio fragments accordingly, and save the result as output/text.html, that can be viewed by the browser.

Demo

You can see the demo of the tool in action here.

Requirements

The dependencies will be installed automatically during the package installation process.

Feedback and Contributions

Your feedback and contributions are welcome! If you encounter any issues or have suggestions for improvements, please feel free to open an issue on the GitHub repository or submit a pull request with your changes.

License

MIT