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Wav2vec2 Spanish

Developed by flax-community
Pre-trained speech recognition model based on Common Voice Spanish data, trained on TPU using the Flax framework
Downloads 16
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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