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Faster Whisper Medium
This is the CTranslate2 converted version of OpenAI's Whisper medium model, designed for efficient speech recognition tasks.
Downloads 155.87k
Release Time : 11/23/2023
Model Overview
This model is the CTranslate2 format conversion of OpenAI's Whisper medium model, focusing on automatic speech recognition (ASR). It supports multiple languages and is suitable for applications requiring efficient speech-to-text conversion.
Model Features
Efficient Inference
Converted via CTranslate2, providing faster inference speed than the original PyTorch model
Multilingual Support
Supports speech recognition in over 100 languages
FP16 Quantization
Model weights saved in FP16 format, balancing precision and performance
Easy Integration
Seamlessly integrates with CTranslate2-based projects like faster-whisper
Model Capabilities
Speech-to-text
Multilingual recognition
Real-time transcription
Audio file processing
Use Cases
Media Transcription
Podcast Transcription
Automatically convert podcast audio content into text transcripts
Efficient and accurate multilingual transcription
Video Subtitle Generation
Automatically generate subtitles for video content
Supports subtitle creation in multiple languages
Meeting Minutes
Real-time Meeting Transcription
Generate real-time text records during meetings
Improves meeting accessibility and recording efficiency
Voice Assistants
Voice Command Recognition
Provide voice interaction capabilities for smart devices
Supports multilingual voice control
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