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