Synthetic speech datasets, ordered by the hour.

Purpose-built audio hours for data scientists and speech ML engineers to fine-tune speech models and build sharper evaluation sets.

Request early access

For audio model teams

Clean synthetic speech hours for training, tuning, and testing.

Voxxim prepares structured speech datasets with transcript-aligned audio, speaker variation, and coverage plans tailored to the model task. Dataset delivery is scoped by usable audio hours, so teams can close targeted gaps without sourcing every recording from scratch.

01

Targeted data gaps

Buy the missing hours your model actually needs: domains, prompts, speaking styles, or edge cases that current datasets do not cover.

02

Fine-tuning material

Receive transcript-aligned clips with consistent packaging, so speech model experiments can move from data request to training run faster.

03

Evaluation coverage

Create held-out sets that expose pronunciation, vocabulary, robustness, and speaker-consistency failures before they reach users.

04

Usable by the hour

Scope orders around usable audio hours, with clear splits and metadata that make dataset quality easier to inspect and reproduce.

Early access

Tell us the hours of speech data that you need.

Share the model task, data gap, and target dataset size. We willx reply from Voxxim with fit, scope, and next steps.