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Wav2vec2 Large Xls R 300m Turkish Colab
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Wav2vec2 Large Xls R 300m Turkish Colab

Developed by pinot
This model is a Turkish speech recognition model fine-tuned on the Common Voice dataset based on facebook/wav2vec2-xls-r-300m
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Large-scale pre-training fine-tuning#Low-resource optimization
Downloads 16
Release Time : 6/18/2022

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
Specially fine-tuned for Turkish speech characteristics
Based on large-scale pre-trained model
Fine-tuned based on facebook/wav2vec2-xls-r-300m model, inheriting its powerful speech feature extraction capabilities
Relatively lightweight
With 300 million parameters, it remains relatively lightweight while maintaining performance

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 0.5894
Voice assistant
Provide speech recognition capabilities for Turkish voice assistants
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