# High-precision Transcription

Whisper is a pre-trained automatic speech recognition (ASR) and speech translation model, trained on 680,000 hours of annotated data with strong generalization capabilities.

Whisper is OpenAI's state-of-the-art automatic speech recognition (ASR) and speech translation model, supporting multiple languages

A Chinese speech recognition model fine-tuned based on whisper-large-v3-turbo, showing significant performance improvements in multiple Chinese speech recognition benchmarks

Japanese-optimized version based on OpenAI Whisper large-v3, supporting multilingual speech recognition

A Chinese speech recognition model fine-tuned based on whisper-large-v2, achieving a 30-70% relative performance improvement in multiple Chinese speech recognition benchmarks.

Japanese speech recognition model fine-tuned on the common_voice_11_0 dataset based on openai/whisper-medium

wav2vec 2.0 is a self-supervised learning model for speech recognition, pre-trained on a large amount of unlabeled speech data, capable of efficiently performing speech-to-text tasks.