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Whisper Large V3 Japanese 4k Steps Ct2

Developed by JhonVanced
This is a CTranslate2 converted version of the OpenAI Whisper large-v3 model, specifically fine-tuned for Japanese with an additional 4,000 training steps, supporting multilingual speech recognition.
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Release Time : 2/20/2024

Model Overview

A speech recognition model based on Whisper large-v3, converted to CTranslate2 format for improved inference efficiency, supporting multilingual speech-to-text tasks.

Model Features

Efficient inference
After conversion to CTranslate2 format, inference speed is faster than the original PyTorch implementation
Multilingual support
Supports speech recognition for over 100 languages
Japanese optimization
Specifically fine-tuned for Japanese with an additional 4,000 training steps
FP16 quantization
Model weights are saved in FP16 format, allowing adjustment of computation precision during loading

Model Capabilities

Speech-to-text
Multilingual speech recognition
Audio transcription

Use Cases

Media transcription
Podcast transcription
Automatically transcribe podcast audio content into text
High-accuracy transcription results with multilingual support
Video subtitle generation
Automatically generate subtitles for video content
Supports subtitle generation in multiple languages
Meeting minutes
Meeting recording transcription
Automatically convert meeting recordings into text records
Improves meeting documentation efficiency and facilitates subsequent retrieval
Language learning
Language learning assistance
Help language learners practice listening and pronunciation
Provides accurate speech recognition feedback
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