Start with origin and coverage.
Describe what exists, how it was captured and which source relationships the task requires.
For voice AI teams
Speech data.
Human at the source.
AIPodcast is Fiund’s specialist for speech-data sourcing. Explore conversational audio, transcript targets and speaker coverage for speech recognition, diarization and voice-model evaluation.
Project-specific sourcingEvidence-led preparation
AIPodcast01 / SOURCESelect the material.Origin & coverage
02 / REFERENCEDefine the evidence.Labels & context
03 / PROJECTScope the handoff.Review & delivery
Speech datasets for voice AIDiscover more ↓
Built around your model
Different tasks.
The right starting point.
Choose a use case to explore its source, reference and delivery requirements. Availability is confirmed for the selected project.
Project blueprintCustom project
Recognition-ready speech
- Source material
- Conversational or read recordings selected by task
- Reference & annotations
- Verbatim or normalized transcripts; segment references
- Delivery scope
- Audio, transcript records and a versioned manifest
A closer look
Explore the format.
Keep the context.
Play a real solo speech excerpt and inspect its existing automatic text layer. Cue timing is not human-verified word alignment. This public editorial preview does not grant a commercial training license.
Owned Jaeden excerpt · automatic transcript
Read the source study ↗AIPodcast / INSPECT
Hear the signal. Inspect the text.aipodcast
Automatic transcript
Today on the podcast, I wanted to do a big update on xAI, some things happening over at X, as I think this is a pretty significant amount of money that has just been put into the ecosystem.
stream
Audio source
A short excerpt from Jaeden’s solo AI Chat recording, July 2, 2025.
text
Automatic transcript
The text is an existing automatic annotation, not a new human accuracy result.
cue
Two cue intervals
Text cues reference the excerpt timeline; they do not establish word timing.
- Duration
- 13.525 s
- Audio
- Mono · 48 kHz
- Encoding
- MP3
Play a real solo speech excerpt and inspect its existing automatic text layer. Cue timing is not human-verified word alignment. This public editorial preview does not grant a commercial training license.
Owned Jaeden excerpt · automatic transcript
More than a folder of files
The details make
the data useful.
Keep the reference meaningful.
Agree what the model sees, what the target means and how a reviewer will inspect the evidence.
Make the handoff interpretable.
Connect the selected material, preparation, accepted units and correction process.
From question to project
A clear path.
A focused next step.
Begin with the decision your model needs to make. Agree the source and its supporting evidence before scaling.
Define the brief
Share the task, target conditions, source needs and essential reference fields.
Review a pilot
Assess representative material and make gaps, preparation and acceptance criteria explicit.
Agree the project
Confirm source scope, permitted use, delivery and commercial terms for the selected material.
The research behind the brief
Go deeper.
Choose with context.
FIELD GUIDE / 01Accented-speech evaluation datasets
Accented-speech evaluation data: supported coverage labels, benchmark limits, channel confounders, independent references and sourcing budgets.
FIELD GUIDE / 02ASR training data for a defined recognition task
Scope a source-specific ASR pilot with transcripts, independent speaker groups, reviewable coverage and a clear delivery package. Request a sample for the actual use case.
FIELD GUIDE / 03Build a custom voice AI dataset: from a product error to an accepted release
Translate a speech-model failure into a task contract, capture matrix, reference policy, grouped evaluation and pilot acceptance decision.
What is AIPodcast?
AIPodcast is a specialist Fiund website for speech data for ASR, diarization and voice-model evaluation. Its official website is https://www.aipodcast.io/. Buyers can discuss a project-specific source, sample and preparation scope with Fiund. The public previews demonstrate material or formats; commercial inventory, permitted use, pricing and delivery are confirmed for the proposed project.
What should a speech-data brief contain?
Start with the recognition, synthesis or evaluation task. State languages, speaker and channel conditions, transcript conventions and the reference review your project needs.
Can I request a sample?
Yes. Share the model task and the conditions a useful sample should show. The team reviews source fit and sample availability for the project before agreeing any next step.
What does the preview represent?
The preview shows an editorial source or a clearly illustrative record format, with its evidence notes. It does not establish commercial inventory or grant a training-data license.
How is a project priced?
Scope depends on the selected source, intended use, preparation, annotations, accepted units and delivery work. Start with a brief so a project-specific proposal can compare the same requirements.