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Wav2vec2 Xls R 300m Gl CV8
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Wav2vec2 Xls R 300m Gl CV8
Developed by emre
This model is a fine-tuned speech recognition model based on Facebook's wav2vec2-xls-r-300m on the Common Voice Galician (gl) dataset, achieving a word error rate (WER) of 20.8% on the test set.
Downloads 18
Release Time : 3/2/2022
Model Overview
This is a model for automatic speech recognition (ASR) in Galician (gl), fine-tuned from the wav2vec2-xls-r-300m architecture, suitable for converting Galician speech to text.
Model Features
Multi-dataset evaluation
The model has been evaluated on multiple datasets including Common Voice gl, Common Voice 8.0, and Robust Speech Event, demonstrating performance across different data distributions.
Relatively low WER
Achieved a word error rate (WER) of 20.8% on the Common Voice gl test set, indicating good recognition capability for standard speech data.
Fine-tuned large-scale pre-trained model
Fine-tuned from Facebook's wav2vec2-xls-r-300m large-scale pre-trained model, leveraging the powerful feature extraction capabilities of the pre-trained model.
Model Capabilities
Galician speech recognition
Speech-to-text
Automatic speech recognition
Use Cases
Speech transcription
Galician speech transcription
Convert Galician speech content into text format
Achieved a word error rate of 20.8% on the standard test set
Voice assistants
Galician voice command recognition
Used as the speech recognition module for Galician voice assistants or voice control systems
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