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Faster Whisper Large V2
Whisper large-v2 is a large-scale automatic speech recognition (ASR) model developed by OpenAI, supporting multilingual speech-to-text tasks.
Downloads 948.29k
Release Time : 11/23/2023
Model Overview
This model is a Transformer-based automatic speech recognition system capable of converting speech to text, supporting multiple languages and accents.
Model Features
Multilingual Support
Supports speech recognition for over 100 languages
Efficient Inference
Optimized with CTranslate2 for faster inference speed
High Accuracy
Excellent recognition accuracy across multiple languages and accents
FP16 Quantization
Model weights saved in FP16 format, balancing precision and performance
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
Improves content accessibility and SEO optimization
Video Subtitle Generation
Automatically generate subtitles for video content
Enhances video accessibility and multilingual support
Meeting Minutes
Automated Meeting Minutes
Real-time transcription of meeting content
Improves meeting efficiency and record accuracy
Customer Service
Voice Customer Service Logging
Automatically record and analyze customer service calls
Enhances service quality analysis and training efficiency
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