LuxASR

With this interface, we are giving access to our most performant tool for automatic speech recognition of Luxembourgish (speech-to-text). It has been trained on 150+ hours of carefully controlled pairs of audio and transcription snippets and is achieving a word error rate below 10%, i.e. 10 errors per 100 running words (punctuation and case included 😛). We are providing this tool to facilitate the transcription of Luxembourgish audio recordings into written text for research purposes, but also for general public use. The resulting text follows the current spelling rules for 2019.

Available options

Several audio input languages are available (default: Luxembourgish). If the recording contains more than one speaker, setting diarization to ‚On‘ will separate the text of every speaker in the recording along with time codes for their turns. Note that diarization adds some extra time to the recognition process. Five output formats are available: enriched text (with interactive features and confidence highlighting), plain text (txt), SubRip Subtitles (srt), JSON (with or without time codes for words) and Praat TextGrid. These files can be downloaded through the link below the transcription. The recognition duration takes up to 5% of the audio file’s duration. Once the recognition process has started, an estimated time and a timer will be displayed to keep track of the progress.

As an experimental feature for the text translation to other languages has been added, which will output the recognized text in English, German, Portuguese, Spanish or French. Note that translations take more time to run and will run only for short audios. The quality of these translations may vary.

The maximal size for upload is 500 MB. The preferred file format for audio files is ‚wav‘ with a sampling frequency of 16,000 Hz.

For the new BAS TextGrid option, the audio and text are sent to the BAS services. Please review their privacy statement for more information.

API Access

We are opening API access now. The LuxASR API can be reached via:

curl -X POST "https://luxasr.uni.lu/v2/asr?diarization=Enabled&outfmt=text" \
  -H "accept: application/json" \
  -F "audio_file=@PATH/TO/AUDIO FILE;type=audio/wav"

The API returns the transcription in the specified output format.

Query Parameters

• diarization: Can be set to Enabled (default) or Disabled to include or exclude speaker diarization.
• outfmt: Specifies the output format. Supported values are:
  • colored_text – enriched text with interactive features and confidence highlighting
  • text – plain text transcript (default)
  • json – detailed JSON output
  • srt – SubRip subtitle format
  • textgrid – Praat TextGrid format

Accepted audio formats are .wav, .mp3, and .m4a.

Python Script

Below is a basic Python script that replicates the functionality of the curl command with added flexibility. You can specify the audio file and optionally choose whether to enable diarization and which output format to use.

Download the Python script to use the LuxASR API.

API Documentation

View the API Documentation for detailed information about the LuxASR API.

Usage

python luxasr_transcribe.py path/to/your_audio.wav --diarization Enabled --outfmt json

Replace path/to/your_audio.wav with your actual audio file. The --diarization and --outfmt options are optional and default to Enabled and text respectively.

Disclaimer

Note that the transcription and the translation are run on a dedicated server at the University of Luxembourg. All data thus stays within Luxembourg and the University’s network. Nobody has access to the uploaded audio or the text output. The audio data is streamed to this server and no files are stored on this server or in the network. No data is used to further train the model and no data is transferred to third parties.

Contact

Learn more about LuxASR. LuxASR is under constant development by Peter Gilles, Léopold Hillah, and Nina Hosseini-Kivanani at the University of Luxembourg and is supported by the Chambre des Députes du Grand-Duché de Luxembourg.