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--- |
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language: es |
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tags: |
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- audio |
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- automatic-speech-recognition |
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datasets: |
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- common_voice |
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--- |
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# Wav2Vec2 Spanish |
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Wav2Vec2 model pre-trained using the Spanish portion of the Common Voice dataset. The model is trained with Flax and using TPUs sponsored by Google since this is part of the [Flax/Jax Community Week](https://discss.huggingface.co/t/open-to-the-community-community-week-using-jax-flax-for-nlp-cv/7104) organised by HuggingFace. |
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## Model description |
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The model used for training is [Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) by FacebookAI. It was introduced in the paper |
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"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations" by Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, and Michael Auli (https://arxiv.org/abs/2006.11477). |
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This model is available in the 🤗 [Model Hub](https://huggingface.co/facebook/wav2vec2-base-960h). |
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## Training data |
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Spanish portion of [Common Voice](https://commonvoice.mozilla.org/en/datasets). Common Voice is an open source, multi-language dataset of voices part of Mozilla's initiative to help teach machines how real people speak. |
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The dataset is also available in the 🤗 [Datasets](https://huggingface.co/datasets/common_voice) library. |
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## Team members |
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- María Grandury ([@mariagrandury](https://github.com/mariagrandury)) |
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- Manuel Romero ([@mrm8488](https://huggingface.co/mrm8488)) |
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- Eduardo González Ponferrada ([@edugp](https://huggingface.co/edugp)) |
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- pcuenq ([@pcuenq](https://huggingface.co/pcuenq)) |
