Speech Synthesis Research Lab

The Next Generation
of Speech Synthesis.

We're building a leaner TTS architecture that achieves competitive naturalness at a fraction of the training data and cost of industry leaders.

Tontaube V0  ·  Early Research Preview

Hear It For Yourself

Our V0 model, trained on 45,000 hours — less than 1% of industry-standard datasets. Type anything and synthesize speech in real time.

Enter Text

Tontaube V0 is an early research model. Improved versions are coming to the app and API soon.

Trained on 1% of the Data. 10× Faster.

Early experiments showing significant efficiency gains over industry-standard approaches.

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.

API  ·  Coming Soon

Build with Tontaube

A high-speed, cost-efficient voice generation API powered by our architecture. Clone any voice from a single audio file and generate long-form speech at 10× real-time speed.

  • One-shot voice cloning
  • 0.10× real-time factor — 1 min audio in ~6 s
  • ~2% of ElevenLabs pricing
Join the Waitlist
Python SDK Coming Soon
import tontaube

client = tontaube.Client(api_key="your_key")

# Clone any voice from a single audio file
voice_id = client.create_voice(
    audio_file="sample.mp3"
)

# Generate speech — 0.10× real-time factor
audio = client.generate_speech(
    text="The next generation of speech synthesis.",
    voice_id=voice_id
)
Available Now

Tontaube for iOS & Android

Our audiobook and voice cloning app — already in the hands of thousands of listeners. Convert any document to audio, clone your voice, and stream from a public domain library.

  • PDF, EPUB & document conversion
  • Free voice cloning
  • 30,000+ AI audiobooks
Full product overview

Interested in Investing?

We've proven the architecture at prototype scale and are seeking investment to scale compute, data, and the team.