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Whisper Large V3 Persian Common Voice 17

Developed by MohammadGholizadeh
A Persian automatic speech recognition model fine-tuned based on Whisper Large v3, trained on the Common Voice 17 dataset, which contains over 250,000 Persian audio samples, significantly improving recognition accuracy and robustness.
Downloads 978
Release Time : 3/15/2025

Model Overview

This model is an automatic speech recognition (ASR) model optimized for Persian, aiming to provide more accurate and reliable speech recognition services for the Persian community.

Model Features

Data Augmentation
Fine-tuned using the Common Voice 17 dataset, which contains over 250,000 Persian audio samples, significantly reducing the Word Error Rate (WER).
Model Precision
Performs excellently in Persian speech recognition tasks, providing more accurate and reliable speech recognition services for the Persian community.

Model Capabilities

Persian Speech Recognition
High-precision Speech-to-Text

Use Cases

Speech-to-Text
Persian Speech Transcription
Converts Persian speech to text, suitable for scenarios such as voice recording and meeting minutes.
The Word Error Rate (WER) is 21.43
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