reinehonoka

reinehonoka / Voice-Design-Cloner

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録音不要でオリジナルAI音声の教師データを作るGUIツール

46
6
100% credibility
Found Apr 10, 2026 at 46 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A user-friendly graphical application for designing original AI voices from text prompts and batch-generating audio datasets with those voices for training speech models.

How It Works

1
🔍 Discover the voice creator

You find a handy app that lets you invent custom voices by just describing them, without needing to record anything yourself.

2
📥 Download and prepare

Grab the files from the site and click the simple setup button to get everything installed on your computer in minutes.

3
🚀 Open the friendly app

Click to launch and a colorful web page opens in your browser with easy tabs guiding you through each part.

4
🎤 Invent your dream voice

Describe the voice you want like 'warm friendly grandma' in the design tab, generate previews, listen until perfect, and save your favorite.

5
🔄 Generate tons of speech

Choose your saved voice and a list of sentences, then hit go to automatically create hundreds of audio clips in that voice.

6
🛠️ Polish your audio set

Use the tools tab to tweak sound quality and create a neat list, making everything ready to use.

🎉 Custom voice collection complete

You now have a full folder of audio files in your original voice, ready for making videos, games, or stories come alive.

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AI-Generated Review

What is Voice-Design-Cloner?

Voice-Design-Cloner is a Python GUI tool built on Gradio that lets you create original AI voices from text prompts without any recordings, then batch-generate training datasets for TTS models like Style-Bert-VITS2. It handles voice design, cloning a reference voice across hundreds of corpus sentences, resampling to 44.1kHz WAVs, and producing esd.list files—all in a browser interface with tabs for each step. Developers get ready-to-train audio corpora in minutes, skipping manual recording and preprocessing hassles.

Why is it gaining traction?

Its zero-recording workflow stands out: prompt for a voice ("calm adult female"), preview it, clone to a full corpus (up to 4600 sentences bundled), and export SBV2-ready data with one click. The optional faster backend delivers 6-10x inference speed on NVIDIA GPUs, and setup scripts auto-handle PyTorch CUDA installs. For Japanese TTS pipelines, the included ITA/ROHAN/MANA corpora and auto-translation make it a quick win over command-line Qwen3-TTS scripting.

Who should use this?

AITuber creators synthesizing character voices, game devs prototyping narration datasets, or indie TTS trainers lacking recording setups. It's ideal for Japanese-focused projects needing Style-Bert-VITS2 inputs, especially if you're on Windows/Linux with 8GB+ VRAM and tired of piecing together Hugging Face models manually.

Verdict

Grab it if you're building custom TTS voices—solid docs and automation make the 46 stars and 1.0% credibility score forgivable for an early MIT-licensed project. Test on a beefy GPU first; maturity shows in rough edges like Gradio quirks, but it delivers value out of the box.

(198 words)

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