# Spanish Speech Recognition

This model is a speech recognition model fine-tuned on the Spanish version of the Common Voice dataset v11, based on OpenAI's whisper-small, specializing in Spanish transcription tasks.

This is a large Conformer-Transducer model for Spanish automatic speech recognition, with approximately 120 million parameters, trained on 1340 hours of Spanish speech data.

This is a large Conformer-CTC model for Spanish automatic speech recognition (ASR), trained and released by NVIDIA.

A speech recognition model fine-tuned on the Spanish Common Voice dataset, based on the facebook/wav2vec2-xls-r-300m architecture, achieving a WER of 14.6% on the test set

Based on Facebook's Wav2Vec2 base model, pre-trained on a 10K unlabeled subset of the VoxPopuli corpus and fine-tuned on Spanish transcription data.

This is a Spanish automatic speech recognition model fine-tuned based on the XLS-R 1 billion parameter model, trained and optimized on multiple Spanish datasets.

A speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m