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Wav2vec2 Xls R 300m Turkish Tr Med
This model is a Turkish speech recognition model fine-tuned on common speech datasets based on facebook/wav2vec2-xls-r-300m
Downloads 22
Release Time : 3/2/2022
Model Overview
This is an automatic speech recognition (ASR) model optimized for Turkish, fine-tuned based on the wav2vec2-xls-r-300m architecture, suitable for Turkish speech-to-text tasks
Model Features
Turkish Optimization
Specifically fine-tuned for Turkish speech characteristics to improve recognition accuracy
Efficient Training
Optimized training efficiency using techniques like gradient accumulation and mixed-precision training
Good Performance
Achieves a word error rate (WER) of 0.4677 on the evaluation set
Model Capabilities
Turkish speech recognition
Speech-to-text
Continuous speech recognition
Use Cases
Speech Transcription
Turkish Meeting Minutes
Automatically convert Turkish meeting recordings into text transcripts
Word error rate approximately 46.77%
Voice Assistant
Provide speech recognition capabilities for Turkish voice assistants
Education
Language Learning Applications
Help Turkish language learners practice pronunciation and speaking
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