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Faster Whisper Large Zh Cv11
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Faster Whisper Large Zh Cv11

Developed by arc-r
This is the CTranslate2-converted version of the jonatasgrosman/whisper-large-zh-cv11 model, designed for efficient speech recognition tasks, with special optimizations for Chinese speech recognition.
Speech Recognition Chinese#Chinese Speech Recognition#FP16 Efficient Inference#faster-whisper Compatibility
Downloads 22
Release Time : 7/7/2023

Model Overview

A Chinese speech recognition model based on the OpenAI Whisper architecture, converted to CTranslate2 format for improved inference efficiency, supporting FP16 quantization.

Model Features

Efficient Inference
Optimized through CTranslate2 conversion, offering faster inference speeds compared to the original PyTorch model.
Chinese Optimization
Specially optimized for Chinese speech recognition tasks.
FP16 Support
Supports FP16 quantization, reducing memory usage while maintaining accuracy.
Compatible with faster-whisper
Seamlessly integrates with CTranslate2-based projects like faster-whisper.

Model Capabilities

Chinese Speech Recognition
Long Audio Transcription
Real-Time Speech-to-Text

Use Cases

Speech Transcription
Meeting Minutes
Automatically convert Chinese meeting recordings into text transcripts.
Media Subtitle Generation
Automatically generate subtitles for Chinese video content.
Voice Assistants
Chinese Voice Command Recognition
Recognize and understand Chinese voice commands.
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