Fiund / Speech & conversation data
Conversational AI datasets
Preserve the interaction, not just individual utterances.
A clear review process
What to establish for your project.
Specify the conversation
Describe interviews, co-hosted discussions, question-answer exchanges or another dialogue style. Include speaker count, topic context, duration and whether naturally occurring overlap and interruptions are important.
Keep context and turn boundaries
Define how turns, pauses, overlap and partial utterances should be represented. A useful transcript should keep the connection between the conversation context and the underlying audio.
Choose the recording level
Tell us whether you need finished episodes, original sessions, mixed masters or independent participant tracks. These are different sources with different preparation and review requirements.
Agree on review evidence
Discuss speaker attribution, source-session identifiers, editorial exclusions and the proposed use. A representative review should test interaction quality, not only file validity or audio loudness.
Founder, Fiund
Your project contact
For research, engineering & procurement teams
A direct conversation.
A well-defined next step.
Speak directly with Jaeden Schafer about the recordings, documentation and preparation your speech-data project needs. Start with the model task and agree on a clear source-review and commercial scope.