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--- |
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license: mit |
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language: fr |
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datasets: |
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- mozilla-foundation/common_voice_13_0 |
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metrics: |
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- per |
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tags: |
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- audio |
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- automatic-speech-recognition |
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- speech |
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- phonemize |
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model-index: |
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- name: Wav2Vec2-base French finetuned for phonemes by LMSSC |
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results: |
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- task: |
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name: Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice v13 |
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type: mozilla-foundation/common_voice_13_0 |
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args: fr |
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metrics: |
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- name: Test PER on Common Voice FR 13.0 | Trained |
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type: per |
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value: 5.52 |
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- name: Test PER on Multilingual Librispeech FR | Trained |
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type: per |
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value: 4.36 |
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- name: Val PER on Common Voice FR 13.0 | Trained |
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type: per |
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value: 4.31 |
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--- |
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# Fine-tuned French Voxpopuli v2 wav2vec2-base model for speech-to-phoneme task in French |
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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). |
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When using this model, make sure that your speech input is sampled at 16kHz. |
