faster-whisper-v2-d4 Open-source Speech Recognition Model - Free Deployment, Supports Hebrew and English Recognition

Faster Whisper V2 D4

Developed by ivrit-ai

This is an optimized Hebrew and English speech recognition model based on the Whisper model, developed by ivrit.ai.

Speech Recognition Supports Multiple LanguagesOpen Source License:Apache-2.0 #Hebrew Speech Transcription #Efficient Speech Recognition #Multilingual Support

Downloads 696

Release Time : 9/4/2024

Model Overview

This model is a faster-whisper version optimized from openai/whisper-large-v2, specifically fine-tuned for Hebrew and English speech recognition tasks.

Model Features

Optimized Hebrew Recognition

Specifically fine-tuned for Hebrew, improving recognition accuracy

Efficient Inference

Implemented with faster-whisper, offering higher inference speed compared to the original Whisper

Multilingual Support

Supports both Hebrew and English speech recognition

Model Capabilities

Speech-to-Text

Hebrew Speech Recognition

English Speech Recognition

Long Audio Processing

Use Cases

Speech Transcription

Meeting Minutes Transcription

Convert Hebrew or English meeting recordings into text transcripts

Media Content Caption Generation

Automatically generate subtitles for Hebrew or English video content

Speech Analysis

Speech Content Analysis

Perform text analysis on Hebrew or English speech content

Property	Details
Model Type	Faster-Whisper Model
Training Data	250 hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v4 dataset and 100 hours of professional transcribed speech from other sources
Release Date	September 8th, 2024
License	Apache-2.0
Pipeline Tag	Automatic Speech Recognition
Languages Supported	Hebrew (he), English (en)
Base Model	openai/whisper-large-v2

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Faster Whisper V2 D4

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 ivrit.ai's Faster-Whisper Model

📚 Information Table

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💻 Usage Examples

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