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Wav2vec2 Large Xls R 300m Turkish Colab Common Voice 8 5
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Wav2vec2 Large Xls R 300m Turkish Colab Common Voice 8 5

Developed by husnu
This is a Turkish speech recognition model based on the wav2vec2 architecture, fine-tuned on the Common Voice dataset with a word error rate (WER) of 0.3634.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Low word error rate#Multi-round fine-tuning
Downloads 22
Release Time : 5/10/2022

Model Overview

This model is the Turkish version of wav2vec2-large-xls-r-300m, specifically designed for speech recognition tasks and fine-tuned on the Common Voice dataset.

Model Features

High-performance speech recognition
Achieved a word error rate of 0.3634 on the Common Voice Turkish dataset
Based on wav2vec2 architecture
Utilizes Facebook's wav2vec2-large-xls-r-300m architecture with powerful speech feature extraction capabilities
Optimized for Turkish
Specifically fine-tuned for Turkish, suitable for Turkish speech recognition tasks

Model Capabilities

Turkish speech recognition
Speech to text
Automatic speech transcription

Use Cases

Speech transcription
Turkish speech to text
Convert Turkish speech content into text
Word error rate 0.3634
Voice assistants
Turkish voice command recognition
Used for command recognition in Turkish voice assistant systems
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