Wav2vec2 Spanish
Pre-trained speech recognition model based on Common Voice Spanish data, trained on TPU using the Flax framework
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Release Time : 3/2/2022
Model Overview
This is a Spanish automatic speech recognition (ASR) model based on the Wav2Vec2 architecture, capable of converting Spanish speech into text.
Model Features
Self-supervised Learning
Utilizes Wav2Vec2's self-supervised learning framework to learn speech representations from raw audio
Multilingual Support
Focused on Spanish speech recognition, but the architecture supports extension to other languages
Efficient Training
Efficient training using the Flax framework and Google TPUs
Model Capabilities
Spanish speech recognition
Raw audio processing
Speech-to-text conversion
Use Cases
Speech Technology
Speech Transcription
Convert Spanish speech content into text format
Voice Assistants
Provide speech recognition capabilities for Spanish voice assistants
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