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Faster Distil Whisper Large V3.5
A CTranslate2 format model converted from Distil-Whisper large-v3.5 for efficient speech recognition
Downloads 58.15k
Release Time : 3/26/2025
Model Overview
This is an automatic speech recognition (ASR) model, converted from Distil-Whisper large-v3.5 and optimized for the CTranslate2 framework, providing efficient speech-to-text functionality.
Model Features
Efficient Inference
Optimized through the CTranslate2 framework, providing faster inference speed than the original PyTorch implementation
FP16 Precision
Model weights are saved in FP16 format, balancing accuracy and performance
Compatible with faster-whisper
Can be directly used in faster-whisper and other projects based on CTranslate2
Model Capabilities
English speech recognition
Long-form audio transcription
Real-time speech-to-text
Use Cases
Speech Transcription
Meeting Minutes
Automatically convert meeting recordings into text transcripts
Podcast Transcription
Convert podcast audio content into searchable text
Assistive Tools
Real-time Caption Generation
Generate real-time English captions for video or live streaming content
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