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Wav2vec2 Large Xls R 300m Turkish Colab
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Wav2vec2 Large Xls R 300m Turkish Colab
Developed by dennisowusuk
This model is a Turkish speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m, achieving a word error rate of 30.95% on the evaluation set.
Downloads 15
Release Time : 3/28/2022
Model Overview
This is a speech recognition 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, performing well on the Common Voice Turkish dataset
Fine-tuned on Large Model
Fine-tuned based on the 300-million-parameter wav2vec2-xls-r-300m model, with powerful speech feature extraction capabilities
Low Word Error Rate
Achieved a word error rate of 30.95% on the evaluation set, demonstrating good performance for Turkish recognition
Model Capabilities
Turkish Speech Recognition
Audio-to-Text Conversion
Speech Content Analysis
Use Cases
Speech Transcription
Turkish Meeting Minutes
Automatically transcribe Turkish meeting recordings into text records
Transcription accuracy approximately 69.05%
Voice Assistant
Used as the speech recognition module for Turkish voice assistants
Education
Language Learning Applications
Help Turkish learners check pronunciation and transcription accuracy
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