wav2vec2 french phonemizer EU AI Act Compliance Profile

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

Fine-tuned facebook/wav2vec2-base-fr-voxpopuli-v2 for French speech-to-phoneme (without language model) using the train and validation splits of Common Voice v13.

Audio samplerate for usage

When using this model, make sure that your speech input is sampled at 16kHz.

Output

As this model is specifically trained for a speech-to-phoneme task, the output is sequence of IPA-encoded words, without punctuation. If you don't read the phonetic alphabet fluently, you can use this excellent IPA reader website to convert the transcript back to audio synthetic speech in order to check the quality of the phonetic transcription.

Training procedure

The model has been finetuned on Commonvoice-v13 (FR) for 14 epochs on a 4x2080 Ti GPUs at Cnam/LMSSC using a ddp strategy and gradient-accumulation procedure (256 audios per update, corresponding roughly to 25 minutes of speech per update -> 2k updates per epoch)

• Learning rate schedule : Double Tri-state schedule

  • Warmup from 1e-5 for 7% of total updates
  • Constant at 1e-4 for 28% of total updates
  • Linear decrease to 1e-6 for 36% of total updates
  • Second warmup boost to 3e-5 for 3% of total updates
  • Constant at 3e-5 for 12% of total updates
  • Linear decrease to 1e-7 for remaining 14% of updates

• The set of hyperparameters used for training are the same as those detailed in Annex B and Table 6 of wav2vec2 paper.

Usage (using the online Inference API)

Just record your voice on the ⚡ Inference API on this webpage, and then click on "Compute", that's all !

Usage (with HuggingSound library)

The model can be used direc

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