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This is a model for automatic speech recognition in spanish, by using the Spanish portion of multilingual_librispeech and the pre-trained wav2vec2 multilingual from Facebook

For training the model, we used the same parameters as they recommend in the paper. We trained for a total of 15 epochs, obtaining a final wer of 0.073.

An example of how to use this model:

from transformers import Wav2Vec2Tokenizer, AutoModelForCTC

tokenizer = Wav2Vec2Tokenizer.from_pretrained(
            "IIC/wav2vec2-spanish-multilibrispeech"
        )

model = AutoModelForCTC.from_pretrained(
            "IIC/wav2vec2-spanish-multilibrispeech"
        )

Contributions

Thanks to @avacaondata, @alborotis, @albarji, @Dabs, @GuillemGSubies for adding this model.

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Dataset used to train IIC/wav2vec2-spanish-multilibrispeech

Space using IIC/wav2vec2-spanish-multilibrispeech 1

Evaluation results