Wav2vec2 Large Xls R 300m Turkish Colab
A speech recognition model fine-tuned on the Common Voice Turkish dataset based on facebook/wav2vec2-xls-r-300m
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Release Time : 3/2/2022
Model Overview
This is a Turkish-optimized speech recognition model, fine-tuned on the wav2vec2-xls-r-300m architecture and trained on the Common Voice dataset, capable of converting Turkish speech to text.
Model Features
High-performance Turkish recognition
Achieves a 31.49% word error rate on the Common Voice Turkish test set
Based on large-scale pretrained model
Fine-tuned on facebook's wav2vec2-xls-r-300m model, inheriting its powerful speech feature extraction capabilities
End-to-end training
Learns directly from raw audio to text output mapping without complex feature engineering
Model Capabilities
Turkish speech recognition
Speech-to-text
Continuous speech recognition
Use Cases
Speech transcription
Turkish speech transcription
Convert Turkish speech content into text transcripts
Achieves a 31.49% word error rate on the test set
Voice assistant
Turkish voice command recognition
Used for understanding voice commands in Turkish voice assistants
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