Wav2vec2 Large Xls R 300m Odia Cv8
An automatic speech recognition model fine-tuned on the Odia (OR) Common Voice dataset based on facebook/wav2vec2-xls-r-300m
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Release Time : 3/2/2022
Model Overview
This is an optimized automatic speech recognition model for Odia, fine-tuned on the Common Voice 8.0 dataset
Model Features
Multilingual pre-training foundation
Based on Facebook's wav2vec2 XLS-R 300M multilingual pre-trained model with powerful speech feature extraction capabilities
Odia optimization
Specifically fine-tuned for Odia and trained on the Common Voice 8.0 Odia dataset
Relatively low word error rate
Achieves a word error rate (WER) of 0.5818 on the evaluation set, outperforming the base model
Model Capabilities
Odia speech-to-text
Automatic speech recognition
Speech content transcription
Use Cases
Speech transcription
Odia speech content transcription
Convert Odia speech content into text format
Word error rate 0.5818
Voice assistant
Odia voice command recognition
Used for understanding Odia voice commands
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