DR-LRC

A Python script to download DR LYD audio, generate subtitles using Whisper, convert the subtitles to LRC lyrics format, optionally translate them into any language via Ollama + Gemma 2, and embed these lyrics into the MP3 file.

Disclaimer: This project is intended for educational and research purposes only. The author does not endorse or promote the unauthorized distribution of copyrighted content. Please respect the rights of content creators and only use this tool to download content that is freely available on the internet and use it for study Danish and only for personal use. The code was written by the help of ChatGPT.

Features

• Download DR LYD audio: Scrapes a DR LYD program page to extract the m3u8 URL and downloads the audio as an MP3 file using ffmpeg.

• Convert audio for Whisper: Converts the downloaded MP3 file to WAV (mono, 16 kHz) for compatibility with Whisper.

• Generate subtitles: Uses Whisper CLI to generate an SRT subtitle file from the WAV file.

• Convert SRT to LRC: Converts the generated SRT file into LRC (lyric) format.

• Embed lyrics: Embeds the LRC lyrics into the MP3 file using ID3 tags.

• (Optional) Generate a translated copy: If you pass a second argument (either translate or a specific language name), a second MP3 is created containing Danish + translation.

• Cleanup: Removes intermediate files (WAV, SRT, LRC) so that only the final MP3 remains.

Requirements

• Python 3.11+
• ffmpeg must be installed and in your system PATH.
• whisper-cli must be installed. You can see the installation instructions for each platform in the repository.
• ./build/bin/whisper-cli must be in your system PATH.
• Environment variable WHISPER_MODEL_PATH must be set to the path of your Whisper model file (e.g., ggml-medium.bin).
• (Optional) Translation: If you plan to use the translate feature, you need Ollama and the Python ollama client installed, as well as an available model (e.g. gemma2).

Installation

1. Clone the repository:

   git clone https://github.com/iskoldt-X/DR-LRC.git
   cd DR-LRC

2. Install the required Python packages:

   pip install -r requirements.txt

3. Set up the Whisper model path in your shell.

   For example, if you are using zsh on macOS, add the following line to your ~/.zshrc file:

   export WHISPER_MODEL_PATH=/path/to/your/ggml-medium.bin

   Replace /path/to/your/ggml-medium.bin with the path to your Whisper model file.

   Then, reload your shell configuration:

    source ~/.zshrc

Usage

Run the script from the command line by providing a DR LYD URL:

python3 dr_lrc.py https://www.dr.dk/lyd/special-radio/tiden/tiden-2025/tiden-300-000-soldater-i-underskud-telefonfri-skole-og-et-ulvemoede-11802551038

The script will:

1. Download the audio and convert it to MP3.
2. Convert the MP3 to WAV for transcription.
3. Run whisper-cli to generate an SRT subtitle file.
4. Convert the SRT file to LRC lyrics.
5. Embed the LRC lyrics into the MP3.
6. Delete intermediate files, leaving only the final MP3 file.

Translation

You can optionally add a second argument to request translation into a specific language. For example, if you run:

python3 dr_lrc.py <DR_LYD_URL> French

It will create a second MP3 containing Danish + French lyrics embedded. The main MP3 remains Danish-only.

If you include the word translate as the second argument, the script will default to English. For instance:

python3 dr_lrc.py <DR_LYD_URL> translate

You will end up with two MP3s:

The original MP3 (with Danish-only lyrics). A second MP3 named something like dr_output_translated.mp3, containing “Danish / English” lines.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgements

• DR LYD
• Whisper
• whisper.cpp
• ffmpeg
• mutagen
• Ollama
• Gemma 2