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Whisper Large V3 Turkish Test1

Developed by erdiyalcin
A speech recognition model fine-tuned on the Common Voice 17.0 Turkish dataset based on OpenAI Whisper-large-v3
Downloads 21
Release Time : 5/4/2024

Model Overview

This is an automatic speech recognition (ASR) model specifically optimized for Turkish, fine-tuned on the Common Voice 17.0 Turkish dataset, capable of accurately recognizing Turkish speech content.

Model Features

Turkish optimization
Specially fine-tuned for Turkish, improving recognition accuracy for Turkish speech
High performance
Achieved a 12.8% word error rate on the Common Voice 17.0 Turkish test set
Based on Whisper architecture
Built on OpenAI's powerful Whisper-large-v3 model, inheriting its excellent speech recognition capabilities

Model Capabilities

Turkish speech recognition
Speech-to-text
Automatic speech transcription

Use Cases

Speech transcription
Turkish meeting minutes
Automatically transcribe Turkish meeting recordings into text records
High accuracy with a 12.8% word error rate
Voice assistant
Provide speech recognition capabilities for Turkish voice assistants
Education
Language learning assistance
Help Turkish language learners check pronunciation accuracy
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