---
license: mit
language: fr
datasets:
- mozilla-foundation/common_voice_13_0
metrics:
- per
tags:
- audio
- automatic-speech-recognition
- speech
- phonemize
model-index:
- name: Wav2Vec2-base French finetuned for phonemes by LMSSC
  results:
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Common Voice v13
      type: mozilla-foundation/common_voice_13_0
      args: fr
    metrics:
    - name: Test PER on Common Voice FR 13.0 | Trained
      type: per
      value: 5.52
    - name: Test PER on Multilingual Librispeech FR | Trained
      type: per
      value: 4.36
    - name: Val PER on Common Voice FR 13.0 | Trained 
      type: per
      value: 4.31
---

# Fine-tuned French Voxpopuli v2 wav2vec2-base model for speech-to-phoneme task in French

Fine-tuned [facebook/wav2vec2-base-fr-voxpopuli-v2](https://huggingface.co/facebook/wav2vec2-base-fr-voxpopuli-v2) on French using the train and validation splits of [Common Voice v13](https://huggingface.co/datasets/mozilla-foundation/common_voice_13_0).
When using this model, make sure that your speech input is sampled at 16kHz.