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Lite Whisper Large V3 Turbo Fast
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Lite Whisper Large V3 Turbo Fast

Developed by efficient-speech
Lite-Whisper is a compressed version of OpenAI Whisper, utilizing LiteASR technology to significantly reduce model size while maintaining high accuracy.
Speech Recognition
Transformers
Open Source License:Apache-2.0#Compressed Speech Recognition#Low Parameter Count#Fast Inference
Downloads 99
Release Time : 2/26/2025

Model Overview

An efficient automatic speech recognition model based on the Whisper architecture, achieving faster inference speed and smaller model size through compression techniques, suitable for real-time speech-to-text scenarios.

Model Features

Efficient Compression
Utilizes LiteASR technology to significantly reduce model size, with the encoder containing only 313M parameters.
Fast Inference
The turbo-fast version is optimized for inference speed, making it suitable for real-time applications.
Performance Balance
Achieves a good balance between model compression and recognition accuracy (WER 20.1 on ESB dataset).

Model Capabilities

Speech-to-Text
Multilingual Speech Recognition
Real-time Speech Processing

Use Cases

Real-time Transcription
Meeting Real-time Recording
Used for real-time speech-to-text in online meeting scenarios.
Provides fast but slightly less accurate transcription results.
Edge Device Applications
Mobile Voice Input
Implements speech recognition on resource-constrained mobile devices.
Smaller model size is suitable for mobile deployment.
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