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Wav2vec2 Xls R Urdu
This model is an automatic speech recognition (ASR) model fine-tuned on the Urdu Common Voice dataset based on Facebook's Wav2Vec2-Large-XLSR-53
Downloads 22
Release Time : 3/2/2022
Model Overview
This is a speech recognition model optimized for Urdu, capable of converting Urdu speech into text
Model Features
Urdu Optimization
Specially fine-tuned and optimized for Urdu speech characteristics
Based on XLSR Architecture
Utilizes cross-lingual speech representation learning architecture with powerful speech feature extraction capabilities
Trained on Common Voice Dataset
Trained using Mozilla Common Voice 7.0 Urdu dataset
Model Capabilities
Urdu speech recognition
Speech-to-text
Automatic speech transcription
Use Cases
Speech Transcription
Urdu Speech Transcription
Convert Urdu speech content into text
Word Error Rate (WER) 67.48%
Voice Assistants
Urdu Voice Command Recognition
Used for voice command recognition in Urdu voice assistant systems
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