150 hours of voice data recording
A speech program needed 150 hours of clean voice recordings across Polish, Dutch, and Australian English, captured to spec so none of it bounced back in QA.
150 hours - Polish, Dutch, Australian English - Strong first-pass acceptance
110,000+
native linguists and AI data contributors
Founder-reported combined network · 4 Oct 2026
300+
languages across active service lines
4,500+
dialects and regional variants
1,000+
organizations served since 2015
Measured outcomes
Voice data recording
Voice data recording
- Client
- A speech program (via a top-100 LSP)
- Service
- Voice data recording
- Languages
- Polish, Dutch, Australian English
- Volume
- 150 hours
- Quality
- Strong first-pass acceptance
A speech program needed 150 hours of voice recordings across Polish, Dutch, and Australian English, delivered through a top-100 LSP, with strict device-level audio specifications.
Voice data is expensive to re-record: a sample that fails QA means re-booking a speaker, so the cost of getting capture right the first time is high.
The problem to solve
Voice recording fails when speakers drift from the script, when audio quality varies across contributors, or when format compliance is checked only at the end.
The program needed every sample to meet the specification on the first pass, across three languages and a roster of speakers.
How AI data services was delivered
MoniSa sourced ten speakers per language and ran QA on every recording for script accuracy, audio clarity, and format compliance before submission.
Per-recording QA
Every sample was checked for script accuracy, audio clarity, and format before it was submitted.
Speaker roster
Ten speakers per language gave the program voice diversity within a consistent spec.
First-pass discipline
Catching issues before submission meant fewer re-record cycles on the delivered set.
What was delivered on this engagement?
The program received 150 hours of voice recordings across three languages with a strong first-pass acceptance rate on this engagement.
| Volume | 150 hours |
|---|---|
| Languages | Polish, Dutch, Australian English |
| Quality | Strong first-pass acceptance |
| Speakers | 10 per language |
What supported the result
Why this team fit the assignment
Voice capture needs per-recording QA before submission, not a bulk delivery that bounces back for re-records.
What decided the result
A strong first-pass rate mattered because re-recording voice data is slow and costly.
What buyers can reuse
- Voice data economics turn on the first-pass rate: re-records mean re-booking speakers.
- Per-recording QA before submission is what keeps the accepted set clean.
- The evidence keeps the client and partner details confidential and attributes the metrics only to this engagement.
Work connected to Voice data recording
Related services, buying guidance and language coverage
AI data services and buyer guidance
Languages listed
- Polish
- Dutch
- Australian English
More proof
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Voice data recording questions
What was delivered on this engagement?
Volume: 150 hours. Languages: Polish, Dutch, Australian English. Quality: Strong first-pass acceptance
Which control supported the Voice data recording result?
A strong first-pass rate mattered because re-recording voice data is slow and costly.
Scope work like Voice data recording
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