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Faster Whisper Large V3 Turbo Int8 Ct2
This is the CTranslate2 converted version of OpenAI's Whisper-large-v3-turbo model, employing INT8 quantization technology, primarily designed for efficient speech recognition tasks.
Downloads 123
Release Time : 1/31/2025
Model Overview
This model is an optimized version of Whisper-large-v3-turbo, converted and quantized via the CTranslate2 framework, supporting automatic speech recognition (ASR) tasks in multiple languages with efficient inference capabilities.
Model Features
INT8 Quantization
Utilizes 8-bit integer quantization technology, significantly reducing model size and memory usage while maintaining high recognition accuracy.
Multilingual Support
Supports speech recognition in over 90 languages, covering major global languages and numerous minority languages.
Efficient Inference
Optimized via the CTranslate2 framework, offering faster inference speeds and lower resource requirements compared to the original Whisper model.
Model Capabilities
Automatic speech recognition
Multilingual transcription
Speech-to-text conversion
Audio content analysis
Use Cases
Speech Transcription
Meeting Minutes
Automatically converts meeting recordings into text transcripts
Enhances meeting documentation efficiency and supports multilingual meetings
Subtitle Generation
Automatically generates subtitles for video content
Enables rapid subtitle generation in multiple languages
Speech Analysis
Customer Service Call Analysis
Analyzes customer service call content to extract key information
Improves efficiency in customer service quality assessment
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