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2nd Wav2vec2 L Xls R 300m Turkish Test
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2nd Wav2vec2 L Xls R 300m Turkish Test

Developed by Khalsuu
This model is a fine-tuned speech recognition model based on facebook/wav2vec2-xls-r-300m on the Common Voice Turkish dataset, achieving a word error rate of 0.4444 on the evaluation set.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Turkish speech recognition#Low word error rate#XLS-R architecture
Downloads 29
Release Time : 3/31/2022

Model Overview

This is a Turkish-optimized speech recognition model, fine-tuned based on the wav2vec2-xls-r-300m architecture, suitable for Turkish speech-to-text tasks.

Model Features

Turkish Optimization
Specially fine-tuned on the Common Voice Turkish dataset, optimized for Turkish speech recognition.
Based on wav2vec2-xls-r
Utilizes Facebook's powerful wav2vec2-xls-r-300m architecture as the base model.
Relatively Low Word Error Rate
Achieves a word error rate of 0.4444 on the evaluation set, demonstrating good performance.

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 0.4444
Voice Assistants
Turkish Voice Command Recognition
Used for voice command recognition in Turkish voice assistants or smart home systems
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