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Whisper Large V3 Turbo
An ONNX-optimized Whisper large speech recognition model designed for web deployment
Downloads 2,988
Release Time : 10/1/2024
Model Overview
An optimized version of OpenAI Whisper for efficient speech-to-text tasks, using ONNX format to ensure compatibility with Transformers.js
Model Features
Web Optimization
Uses ONNX weight format, specifically designed for Transformers.js, suitable for browser environments
Efficient Inference
Turbo version optimized for inference speed, ideal for real-time speech-to-text scenarios
Multilingual Support
Based on Whisper architecture, supports speech recognition in multiple languages
Model Capabilities
Speech-to-Text
Multilingual Speech Recognition
Real-time Speech Processing
Use Cases
Speech Transcription
Automated Meeting Minutes
Convert meeting recordings into real-time text transcripts
Improves meeting documentation efficiency, supports multilingual meetings
Podcast Subtitle Generation
Automatically generate text subtitles for podcast audio
Enhances content accessibility, supports SEO optimization
Voice Assistants
Browser Voice Control
Implement voice control functionality in web applications
No server-side processing required, protects user privacy
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