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README.md
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When using this model, make sure that your speech input is **sampled at 16kHz**.
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## Training procedure
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The model has been finetuned on Coommonvoice-v13 (FR) for 14 epochs on 4x2080 Ti GPUs 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)
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When using this model, make sure that your speech input is **sampled at 16kHz**.
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## Output
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As this model is specifically trained for a speech-to-phoneme task, the output is sequence of [IPA-encoded](https://en.wikipedia.org/wiki/International_Phonetic_Alphabet) words, without punctuation.
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If you don't read the phonetic alphabet fluently, you can use this excellent [IPA reader website](http://ipa-reader.xyz) to convert the transcript back to audio synthetic speech in order to check the quality of the phonetic transcription.
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## Training procedure
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The model has been finetuned on Coommonvoice-v13 (FR) for 14 epochs on 4x2080 Ti GPUs 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)
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