Fiund / Speech & conversation data
Multilingual speech data
Define meaningful language and regional coverage.
A clear review process
What to establish for your project.
Set language-level requirements
List the languages, regions, dialects and code-switching behavior you need. Separate required coverage from optional expansion and explain the model use for each group.
Count the right units
Discuss unique speakers, source sessions, usable hours and transcript availability separately. A multilingual total should not hide gaps in a particular language or repeated material from the same source.
Specify text conventions
Identify writing systems, normalization rules, timestamp requirements and how mixed-language utterances should be labeled. Include the review process needed to assess transcription and alignment.
Establish source fit
Review representative recordings and available source documentation for each proposed group. Availability, preparation requirements and commercial terms are confirmed for the collection rather than inferred from a language list.
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.
Continue your buyer research
Accented-speech evaluation datasets — Accented-speech evaluation data: supported coverage labels, benchmark limits, channel confounders, independent references and sourcing budgets.
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.