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Wav2vec2 Large Xlsr 129 Turkish Colab
Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-large-xlsr-129
Downloads 16
Release Time : 3/2/2022
Model Overview
This model is an automatic speech recognition (ASR) model optimized for Turkish, fine-tuned on the wav2vec2-large-xlsr-129 architecture, suitable for Turkish speech-to-text tasks
Model Features
Turkish language optimization
Specially fine-tuned for Turkish speech characteristics to improve recognition accuracy
Based on wav2vec2 architecture
Uses Facebook's advanced wav2vec2-large-xlsr-129 pre-trained model as the foundation
Efficient training
Optimizes the training process using mixed-precision training and gradient accumulation techniques
Model Capabilities
Turkish speech recognition
Speech-to-text
Continuous speech recognition
Use Cases
Speech transcription
Meeting minutes automation
Automatically converts Turkish meeting recordings into text transcripts
Word error rate (WER) 0.4748
Voice assistants
Provides speech recognition capabilities for Turkish voice assistants
Education
Language learning applications
Helps learners practice Turkish pronunciation and listening
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