EraX-WoW-Turbo-V1.1

EraX-WoW-Turbo-V1.1

erax-ai

EraX-WoW-Turbo-V1.1 is a high-speed multilingual speech recognition model, optimized for Vietnamese and 10 other languages, featuring real-time transcription capabilities and ~12% WER.

PropertyValue
LicenseMIT
Model BaseWhisper Large-v3 Turbo
Training Data600,000 samples (1000 hours)
Model URLhttps://huggingface.co/erax-ai/EraX-WoW-Turbo-V1.1

What is EraX-WoW-Turbo-V1.1?

EraX-WoW-Turbo-V1.1 is a supercharged speech recognition model built on Whisper Large-v3 Turbo, specifically optimized for Vietnamese and 10 other languages. The model achieves remarkable speed, processing 30 seconds of audio in approximately 350ms, making it ideal for real-time applications.

Implementation Details

The model leverages CTranslate2 library for enhanced performance, offering up to 2.5x speedup in processing time. It's trained on a diverse dataset of 600,000 samples, covering various real-world audio conditions and accents.

  • Multilingual support for 11 languages including Vietnamese, English, Chinese, Cantonese, Indonesian, Korean, Japanese, Russian, German, French, and Dutch
  • Optimized for real-time transcription with ~12% Word Error Rate
  • Robust handling of regional accents and background noise

Core Capabilities

  • Real-time speech transcription
  • Multi-dialect Vietnamese support
  • Noise-resistant recognition
  • Integration with CTranslate2 for enhanced performance
  • Support for diverse audio conditions

Frequently Asked Questions

Q: What makes this model unique?

The model's standout features include its exceptional speed, comprehensive support for Vietnamese regional dialects, and optimized performance using CTranslate2. It processes audio nearly in real-time while maintaining high accuracy across multiple languages.

Q: What are the recommended use cases?

The model is ideal for real-time transcription, voice assistants, media subtitling, accessibility tools, and language learning applications. However, it's not optimized for infant speech or whispered audio.

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