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Whisper Medium He

Developed by imvladikon
Hebrew automatic speech recognition (ASR) model based on OpenAI Whisper architecture, fine-tuned on Hebrew datasets
Downloads 17
Release Time : 11/19/2023

Model Overview

This model is the Hebrew version of the Whisper-medium architecture, specifically designed for Hebrew speech recognition tasks, achieving a 13.4% word error rate on the evaluation set

Model Features

Hebrew optimization
Specially fine-tuned for Hebrew, offering better Hebrew recognition capabilities compared to the original Whisper model
Medium scale
Based on the Whisper-medium architecture, balancing performance and resource consumption
Low word error rate
Achieved a 13.4% word error rate on the evaluation set, demonstrating good performance

Model Capabilities

Hebrew speech-to-text
Automatic speech recognition
Audio transcription

Use Cases

Speech transcription
Hebrew meeting minutes
Automatically transcribe Hebrew meeting recordings into written records
Word error rate approximately 13.4%
Hebrew media subtitle generation
Automatically generate subtitles for Hebrew video content
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