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Lite Whisper Large V3 Fast
Lite-Whisper is a lightweight version of OpenAI Whisper compressed using LiteASR technology, significantly reducing model size while maintaining high recognition accuracy.
Downloads 25
Release Time : 2/26/2025
Model Overview
A lightweight automatic speech recognition model based on Whisper-large-v3, reducing parameter scale through compression techniques, suitable for scenarios requiring fast inference.
Model Features
Efficient compression
Uses LiteASR technology to significantly reduce model size, encoder size compressed from 635M to 308M
Fast inference
Optimized for scenarios requiring rapid speech recognition, balancing speed and accuracy
Near-original performance
Average WER of 11.3 on the ESB test set, only 1.2% higher than the original Whisper-large-v3
Model Capabilities
Speech-to-text
Multilingual speech recognition
Real-time speech processing
Use Cases
Speech transcription
Automated meeting notes
Convert meeting recordings into real-time transcripts
Accuracy approximately 88.7% (WER 11.3)
Media processing
Video subtitle generation
Automatically generate subtitles for video content
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