AIPodcast by Fiund / Dataset research

AIPodcast buyer guides.

Compare source material, major datasets, pricing evidence, providers and acceptance criteria. Each guide focuses on a specific sourcing decision.

Research, with the evidence visible.

Public benchmark access, a commercial dataset license and a custom collection are different products. These guides identify what the sources establish, where prices are undisclosed and which requirements belong in a Fiund sourcing brief.

Dataset buyer guide ↗

Accented-speech evaluation datasets

Accented-speech evaluation data: supported coverage labels, benchmark limits, channel confounders, independent references and sourcing budgets.

Dataset buyer guide ↗

Code-switching speech datasets for ASR evaluation

Code-switching ASR benchmarks: natural versus prompted speech, mixed-script references, scoring rules, source rights and pilot acceptance.

Dataset buyer guide ↗

Consented voice-conversion datasets and evaluation

Consented voice-conversion datasets: source and target recordings, paired versus unpaired designs, identity permissions, benchmarks and reviewable project budgets.

Dataset buyer guide ↗

Expressive TTS datasets: prosody, style and controllable speech

Expressive TTS data guide covering prosody, style labels, benchmark limits, public commercial-license pricing, voice permissions and source-specific sample acceptance.

Dataset buyer guide ↗

Long-form ASR evaluation datasets: benchmarks, reference quality and budgets

Long-form ASR evaluation data: complete recordings, reviewed references, reproducible scoring, benchmark access, coverage and budget assumptions.

Dataset buyer guide ↗

Noise and channel robustness speech datasets

Noise and channel robustness data for speech evaluation: real versus mixed audio, clean-reference limits, codec/device conditions, benchmark sources and pilot budgets.

Dataset buyer guide ↗

Overlapping-speech diarization datasets: benchmarks and annotation design

Overlapping-speech diarization data: speaker intervals, benchmark choices, collars, reference review, source splits and transparent pilot costs.

Dataset buyer guide ↗

Speech-translation and language-identification datasets

Speech-translation and language-identification datasets: direction-level coverage, paired references, major benchmarks, provider models and transparent sourcing budgets.

Business inquiries

Tell us what your
voice model needs.

Work directly with Jaeden Schafer at Fiund to discuss the source material, technical requirements and review your team needs.

A useful first brief

  1. Model task and intended uses
  2. Languages, speakers and conversation types
  3. Hours, recording level and source tracks
  4. Transcripts, labels and review criteria
  5. Project timing and commercial requirements
Prepare a project inquiry ↗