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Bp 400h Xlsr2 300M
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Bp 400h Xlsr2 300M
Developed by lgris
This is a Portuguese automatic speech recognition model trained on the Mozilla Common Voice 7.0 dataset, supporting Portuguese speech-to-text tasks.
Downloads 35
Release Time : 3/2/2022
Model Overview
This model is an automatic speech recognition (ASR) model specifically optimized for Portuguese, capable of converting Portuguese speech into text.
Model Features
Multilingual support
Based on XLSR architecture, supports cross-lingual speech recognition
High performance
Achieves 10.83% WER and 3.11% CER on Portuguese test sets
Large-scale training
Trained using 400 hours of Portuguese speech data
Model Capabilities
Portuguese speech recognition
Speech-to-text
Cross-lingual speech processing
Use Cases
Speech transcription
Portuguese meeting minutes
Automatically convert Portuguese meeting recordings into text transcripts
Accuracy over 90%
Voice assistant
Provide speech recognition capabilities for Portuguese voice assistants
Educational technology
Language learning applications
Help learners practice Portuguese pronunciation and listening
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