Long-form speech · Natural conversation
Podcast datasets.
Let the conversation run.
Long-form dialogue offers more than spoken words: context, questions, interruptions, and changing turns. Define the conversations you need, then explore the right source material.
Discuss your requirements Read the sourcing guidesCategory expertise. A direct line to Fiund.
The category, in context
Podcast datasets can range from a finished episode to separate participant recordings with aligned text. These are materially different inputs for a speech pipeline. This Fiund sourcing site focuses on the formats, conversational coverage, and participant considerations that matter when evaluating podcast audio for AI.
01 / Sourcing focus
Define the collection
around the use case.
Multi-speaker conversations
Interviews, co-hosted discussion, and other dialogue formats. Specify speaker count, interaction style, duration, and whether overlap or spontaneous speech is important.
Language and topic collections
Identify languages, accents, subject areas, and the diversity you want across shows and speakers. Ask for counts that distinguish episodes, speakers, and unique recording sessions.
Source tracks and transcripts
Discuss mixed episodes, independent participant tracks, and text alignment. Include requirements for intros, advertising, music, edits, and excluded participants.
02 / Before you source
The details that
make a brief useful.
Recording level
Published episode, original session, mixed master, or independent participant tracks.
Dialogue coverage
Speaker count, recurring hosts, guest diversity, topics, languages, and recording conditions.
Editorial exclusions
Advertising, music, licensed inserts, intros, synthetic voices, and excluded contributors.
Speaker and source review
Permission scope, contributor documentation, attribution requirements, and any onward-use restrictions.
These are categories and specification considerations for inquiry, not a live inventory listing. Specific collections and permitted uses require review.
03 / Field guides
A better brief starts
with better questions.
How to source a podcast dataset for speech AI
Define conversation coverage, source recordings, exclusions, and participant review.
Prepare a podcast audio dataset brief
Plan source manifests, transcript conventions, content exclusions, and acceptance review.
04 / Common questions
A few things
to clarify.
Does a publicly available podcast come with AI training permission?
Public availability does not establish permission for a particular commercial training use. Ask which parties control the relevant material and what documentation supports the proposed license.
Can I request participant tracks instead of the finished episode?
Yes. Include that requirement. A published mix cannot be assumed to have recoverable original speaker tracks; availability depends on the source recordings and the owner’s delivery options.
Should I count episodes or unique conversations?
Include both where useful. An episode may be an excerpt, compilation, or alternate edit of a recording. Source session identifiers help distinguish unique conversations from multiple published versions.