01
Targeted data gaps
Buy the missing hours your model actually needs: domains, accents, speaking styles, or edge cases that current datasets do not cover.
For audio model teams
Clean speech hours for training, tuning, and testing.
Voxxim prepares structured speech datasets for low-resource language work, with transcript-aligned audio, speaker variation, and coverage plans tailored to the model task. Dataset delivery is scoped by usable audio hours and can combine synthetic generation with carefully prepared real-world recordings.
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 will reply from Voxxim with fit, scope, and next steps.