Ichigo Whisper v0.1

Ichigo Whisper v0.1 Release Notes:

• 🎉 Introducing Ichigo Whisper v0.1
  We are thrilled to announce our very first speech tokenizer built upon the Whisper-medium model!
  Ichigo Whisper is a lightweight (22M parameters), open-source speech tokenizer designed to optimize performance for multilingual while maintaining strong English capabilities. Unlike continuous embedding models, Ichigo Whisper compresses speech into discrete tokens, enabling seamless integration with large language models (LLMs) for advanced speech understanding.

---

🚀 Performance Highlights:

1. Vietnamese

Model	Codebook Size	Test Dataset	Test Samples	WER
Ichigo Whisper	2561	viVoice	1000	11.36
Whisper Medium	-	viVoice	1000	18.64

2. English

Model	Codebook Size	Test Dataset	Test Samples	WER
Ichigo Whisper	2561	LibriTTS-R	1000	12.96
Whisper Medium	-	LibriTTS-R	1000	12.99

---

🔗 Resources:

• Model Weights: Hugging Face: Ichigo Whisper v0.1
• Live Demo: Ichigo Whisper Online