krafton-ai

krafton-ai / Raon-Speech

Public

Open-source speech AI models from KRAFTON, including Raon-Speech and Raon-SpeechChat for speech understanding, generation, and real-time full-duplex conversation.

18
3
100% credibility
Found Apr 02, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Raon-Speech is an open-source toolkit for building speech AI that handles voice-to-text, text-to-voice, question-answering over audio, speech chats, and real-time two-way conversations.

How It Works

1
🔍 Discover Raon-Speech

You hear about this fun speech AI from KRAFTON that turns text into talking voices or listens and replies like a friend.

2
📥 Get it ready

Download the ready-made voices from their safe sharing site and start the simple web playground on your computer.

3
🗣️ Have your first chat

Speak into your microphone and watch the AI listen, understand, and talk back in a natural voice.

4
Pick your fun
📝
Text to voice

Type words and hear them spoken in different styles.

🎤
Voice to text

Record talking and get it written out perfectly.

5
⚙️ Tweak for yourself

Adjust voices with sample clips to match friends or characters.

🎉 Voice magic unlocked

Now you create lifelike conversations, stories, or helpers that sound real and respond instantly.

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AI-Generated Review

What is Raon-Speech?

Raon-Speech delivers open-source speech AI models for speech-to-text, text-to-speech, speech chat, and text QA, plus Raon-SpeechChat for real-time full-duplex conversations. Built in Python on the Hugging Face ecosystem, it lets you load 9B-parameter models from HF repos like KRAFTON/Raon-Speech-9B and run tasks via simple CLI scripts or a pipeline API: pipe.stt("audio.wav") for transcription or pipe.tts("Hello") for synthesis with speaker cloning. It's a self-hosted open source speech model alternative for voice apps without vendor lock-in.

Why is it gaining traction?

As an open source speech recognition and synthesis toolkit on Hugging Face, it stands out with full-duplex mode for natural, interruptible conversations—rare in open source speech to text AI. Gradio demos spin up instantly for testing TTS/STT or realtime chat, and scripts handle batch inference/training on JSONL data. Developers dig the Apache 2.0 license and easy export to optimized runtimes for low-latency voice generation.

Who should use this?

Voice AI builders crafting conversational agents, game studios (from KRAFTON) needing NPC dialogue, or app devs replacing closed-source speech APIs with self-hosted open source speech to text models. Ideal for prototyping multilingual TTS/STT in Python apps or fine-tuning on custom duplex datasets.

Verdict

Promising open source speech model with strong HF integration and realtime duplex hooks, but at 18 stars and 1.0% credibility, it's early—docs are solid, demos work out-of-box, yet expect tweaks for production. Grab it if you're hunting text to speech open source Hugging Face tools for conversation prototypes.

(187 words)

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