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Whisper Small El

Developed by mozilla-ai
This is an automatic speech recognition (ASR) model fine-tuned from the openai/whisper-small model for Greek speech recognition tasks, trained on 3,620 Greek samples from the Mozilla Common Voice 17.0 dataset.
Downloads 94
Release Time : 2/17/2025

Model Overview

This model is specifically designed for Greek speech-to-text tasks, achieving a word error rate (WER) of 45.632 on the Common Voice Greek test set.

Model Features

Greek optimization
Specially fine-tuned for Greek, with improved recognition accuracy compared to the original model
Open-source dataset training
Trained using the Mozilla Common Voice open-source dataset with reliable data sources
Performance improvement
Compared to the baseline model, the word error rate decreased from 46.392 to 45.632, with improved loss values

Model Capabilities

Greek speech recognition
Speech-to-text
Audio transcription

Use Cases

Speech transcription
Greek meeting minutes
Automatically transcribe Greek meeting recordings into text records
Word error rate approximately 45.6%
Greek media subtitle generation
Automatically generate subtitles for Greek video content
Approximately 35.7% WER on FLEURS test set
Voice assistant
Greek voice command recognition
Used for voice command understanding in Greek voice assistant systems
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