readme: ---
  language: xal
  tags:
  - speech
  - audio
  - automatic-speech-recognition
  license: apache-2.0
  ---
  
  ## Info
  
  This Wav2Vec2 model was first pretrained on 500 hours Kalmyk TV recordings and 1000 hours Mongolian speech recognition dataset. After that, the model was finetuned on a 300 hours [Kalmyk synthetic STT dataset](https://github.com/tugstugi/mongolian-nlp#datasets) created by a voice conversion model.
  * 50% WER on a private test set created from Kalmyk TV recordnings
  * on clean voice recordings, the model should have much lower WER
  * voice conversion info
    * 300 hours [Kalmyk synthetic STT dataset](https://github.com/tugstugi/mongolian-nlp#datasets)
    * The source voice is a Kalmyk female voice TTS
    * Target voices are from the VCTK dataset
    * example data: https://twitter.com/tugstugi/status/1409111296897912835
    * each WAV has a different text created from Kalmyk books
  