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Whisper Uz
W
Whisper Uz
Developed by jamshidahmadov
Uzbek speech recognition model fine-tuned on Whisper Base, trained on the Common Voice dataset
Downloads 1,179
Release Time : 12/16/2024
Model Overview
This model is an optimized speech recognition (ASR) model for the Uzbek language, fine-tuned based on OpenAI's Whisper Base architecture, suitable for Uzbek speech-to-text tasks
Model Features
Uzbek language optimization
Specially fine-tuned for Uzbek language, providing better speech recognition accuracy
Low word error rate
Achieved a word error rate (WER) of 14.0135 on the evaluation set, demonstrating excellent performance
Multi-dataset training
Trained on both Common Voice 17.0 and UzbekVoice datasets, covering a wider range of speech scenarios
Model Capabilities
Uzbek speech recognition
Speech-to-text
Automatic speech transcription
Use Cases
Speech transcription
Meeting minutes
Automatically convert Uzbek meeting recordings into text transcripts
14.01% word error rate
Media subtitle generation
Automatically generate subtitles for Uzbek video content
Voice assistant
Uzbek voice command recognition
Used to support smart voice assistants with Uzbek language capability
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