Design synchronized audio-video recordings for visual speech recognition, lip alignment, audiovisual agents, or digital-human research, with the target model use stated in the participant release.
A video that happens to contain speech is not automatically a visual-speech dataset. Frame timing, audio alignment, face visibility, capture consistency, metadata, and the intended model use all affect whether the recording can be trained on responsibly.
Spirelight scopes these fields before recruiting. Existing recordings are never represented as suitable for avatar, lip-reading, or biometric use without a separate rights review.
Use the free worksheet to define coverage, rights, delivery fields, held-out rules, and acceptance tests before requesting a collection plan.
Build a dataset specificationRequest a representative audiovisual recording sample. The team confirms the permitted use and sends an appropriate manually selected example.
Enter your work email and verify it with a 6-digit code. An admin then reviews the request and sends a relevant sample manually within two business days. Use the optional field to name the language, channel, or condition you need to inspect.
Send the language, channel, volume, annotation, and timing you know. The quote form opens directly in project-brief mode.
