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

Developed by jekdoieao
This is a Turkish speech recognition model fine-tuned on the Common Voice dataset based on Facebook's wav2vec2-xls-r-300m model.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Large model fine-tuning#Low word error rate
Downloads 30
Release Time : 4/13/2022

Model Overview

This model is an automatic speech recognition (ASR) model optimized for Turkish, based on the wav2vec2 architecture and fine-tuned on the Common Voice dataset.

Model Features

Turkish language optimization
Specially fine-tuned for Turkish, improving recognition accuracy for this language
Based on wav2vec2 architecture
Utilizes Facebook's wav2vec2-xls-r-300m architecture with a solid foundation for speech recognition
Medium-sized model
The 300M parameter size strikes a balance between accuracy and computational efficiency

Model Capabilities

Turkish speech recognition
Speech to text

Use Cases

Speech transcription
Turkish speech transcription
Convert Turkish speech content into text
Word Error Rate (WER) of 0.3635
Voice assistants
Turkish voice command recognition
For Turkish voice assistants or command control systems
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