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Hf Challenge Test
This is an automatic speech recognition (ASR) model fine-tuned on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset, based on the XLS-R architecture
Downloads 30
Release Time : 3/2/2022
Model Overview
The model specializes in Abkhaz language (ab) speech recognition tasks and demonstrates a low word error rate (WER) on evaluation sets
Model Features
Low word error rate
Achieved a word error rate (WER) of 1.3456 on evaluation sets, demonstrating excellent performance
Language-specific optimization
Specially optimized for the Abkhaz language
Based on Common Voice data
Trained using Mozilla's high-quality open-source speech dataset
Model Capabilities
Abkhaz speech recognition
Audio-to-text conversion
Use Cases
Speech transcription
Abkhaz speech transcription
Convert Abkhaz speech content into text
Word error rate 1.3456
Voice assistants
Abkhaz voice interaction
Provide voice interaction capabilities for Abkhaz-speaking users
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