README.md

metadata

title: Irodori-TTS Compare
emoji: 🗣️
colorFrom: indigo
colorTo: pink
sdk: gradio
sdk_version: 6.6.0
python_version: '3.10'
app_file: app.py
pinned: false
license: mit
short_description: Irodori-TTS v4.1 Small vs Yomi vs Yomi-Tech-tuned
models:
  - Aratako/Irodori-TTS-v4.1-Small
  - takuma104/Irodori-TTS-v4.1-Small-Yomi
  - pentacoxian-dev/Irodori-TTS-v4.1-Small-Yomi-Tech-tuned
  - Aratako/Semantic-DACVAE-Japanese-32dim

Irodori-TTS Compare

Hear Irodori-TTS v4.1 Small variants side by side: pick two, type a Japanese sentence (or pick an example), and both read it with the same seed, voice and settings.

Variant	What it is
Irodori-TTS-v4.1-Small	the upstream model
Irodori-TTS-v4.1-Small-Yomi	text-encoder fine-tune for kanji readings
Irodori-TTS-v4.1-Small-Yomi-Tech-tuned	Yomi plus a technical-term reading frontend stored in the model file (MQTT, API key, schedule, …)

• Yomi variant. It is served from the Yomi-Tech-tuned file with the reading frontend turned off. The tensors are identical, and so is the output.
• Reading table. Above the audio, a table shows how the frontend will read each English term in the text, and whether the reading came from the dictionary, the reader, or letter-by-letter spelling.

Running

• On Spaces. Choose ZeroGPU hardware in the Space settings. Both models are downloaded from the Hub at startup.
• Locally. In a Python 3.10 environment, run pip install -r requirements.txt gradio==6.6.0, then python app.py.
  • To use local files, set OURS_CHECKPOINT and BASE_CHECKPOINT to model.safetensors paths, each with its tokenizer/ folder beside it.
  • GRADIO_SERVER_PORT picks the port.

Code and licences

• irodori_tts/: Aratako/Irodori-TTS at commit 89f9d8f, unmodified. MIT; see irodori_tts/LICENSE.
• tech_reading/ and app.py: MIT.
• Model licences. The models are downloaded from their own repos and keep their own licences. The reading data inside the Yomi-Tech-tuned checkpoint is partly derived from JMdict (CC BY-SA 4.0); see that model's card.
• Ethics. The ethical restrictions of Irodori-TTS apply: no impersonation, and no misleading deepfakes.