Research Preview: Tontaube V0

Human Emotion.
Silicon Efficiency.

We are building the world's most data-efficient TTS architecture. Achieving commercial-grade fidelity with minimal compute.

Metric
Industry Standard
Tontaube Architecture
Training Data Req. < 1% Training Data
5.000.000+ Hours
~45.000 Hours < 1% Training Data
Training Cost
Unknown
~$300
Generation Speed 10x Faster
1.25x realtime
0.10x realtime 10x Faster

Generation speed was compared against the leading open source model Qwen-TTS on single sequence audio generation, using the same RTX 3090 GPU.

Interactive Model Demo

Experience the quality of our lightweight models in real-time.

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Model Comparison

Compare Tontaube against leading proprietary and open-source TTS models across different speaking styles

Model
Narration
The Great Gatsby
News
Broadcast
Informative
Technical
Our Model
Tontaube
Proprietary
ElevenLabs v3
Proprietary
Gemini Pro
Proprietary
OpenAI TTS-1
Open Source
QwenTTS

Our Methodology

Our lean architecture approach allows us to iterate quickly, significantly reducing both development costs and data requirements. This design philosophy enables us to achieve commercial-grade quality with far less computational overhead, making our models more efficient and cost-effective without compromising on performance.

Interested in Investing?

Let's discuss how our efficient TTS architecture can transform the voice AI market.