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Base Spanish Asr
B
Base Spanish Asr
Developed by glob-asr
Spanish speech recognition model trained on the Common Voice dataset, using the wav2vec2 architecture
Downloads 19
Release Time : 3/2/2022
Model Overview
This is a speech recognition model optimized for Spanish, trained based on Facebook's wav2vec2 architecture, suitable for Spanish speech-to-text tasks.
Model Features
Spanish optimization
Specially trained and optimized for Spanish speech recognition
Efficient training
Uses gradient accumulation and mixed-precision training techniques to improve training efficiency
Good performance
Achieves a word error rate of 20.82% on the evaluation set
Model Capabilities
Spanish speech recognition
Speech-to-text
Continuous speech recognition
Use Cases
Speech transcription
Meeting minutes
Automatically transcribe Spanish meeting recordings into text records
Word error rate around 20.82%
Voice assistant
Provide voice input support for Spanish-speaking users
Education
Language learning
Help Spanish learners practice pronunciation and listening
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