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Faster Whisper Large V2 Japanese 5k Steps
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Faster Whisper Large V2 Japanese 5k Steps

Developed by zh-plus
A Japanese automatic speech recognition (ASR) model based on Whisper Large V2, optimized with CTranslate2 for efficient inference.
Speech Recognition
Transformers
 JapaneseOpen Source License:MIT#Japanese Speech Recognition#Low-latency Inference#High-accuracy Transcription
Downloads 280
Release Time : 7/3/2023

Model Overview

This is a Japanese-optimized automatic speech recognition model based on OpenAI's Whisper Large V2 architecture, fine-tuned for 5,000 steps and converted to an efficient inference format using CTranslate2.

Model Features

Efficient Inference
Optimized with CTranslate2 and faster-whisper, providing faster inference speeds compared to the original Whisper model.
Japanese Optimization
Fine-tuned specifically for Japanese speech recognition, improving accuracy for Japanese language.
Low Resource Requirements
Supports multiple computation precisions (e.g., float16) and runs efficiently on various hardware configurations.

Model Capabilities

Japanese speech-to-text
Speech recognition
Multilingual detection
Timestamp generation

Use Cases

Speech Transcription
Japanese Meeting Minutes
Automatically convert Japanese meeting recordings into text transcripts.
Efficiently generates searchable meeting transcripts.
Japanese Podcast Transcription
Convert Japanese podcast content into text scripts.
Facilitates content indexing and searching.
Assistive Tools
Real-time Captioning
Generate real-time captions for Japanese videos or live streams.
Enhances content accessibility.
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