AUDIO
COMMERCIAL
RAW
A transposed digit, a misheard postal code, a name spelled letter by letter: alphanumeric content is where production ASR still fails in ways that cost money. Contributors read items from a bank of 3,425 prompts covering digit strings, letter-by-letter spellings, personal names and street addresses, one item per recording, each character articulated separately. Reviewers send back rushed readings, wrong sequences and clipped ends; text-to-speech is screened out. Every item is prompted, so nobody reads their own details, and each clip maps to its bank item, so reference text comes with the audio. Speakers come from Kled's global base, Southeast Asian, American and European English foremost.
Volume
300,000+
Clips
Contributors
12,000+
Regions
100+ countries
Updated
What’s in the collection and how it’s delivered.
Data modality
Audio
Annotated
Raw (no labels)
Exclusivity
Non-exclusive rights
Capture tool
Phone microphone (in app)
Use cases
Alphanumeric and entity ASR, contact-center and IVR speech recognition, accent-robust evaluation
Format
M4A
Resolution
M4A (AAC) at the phone's native sample rate
Total volume
300,000+ clips (approx. 45 GB)
Regions
100+ countries
Purity level
99%+ passed QA review
Where this data comes from and how it’s licensed.
Every file comes straight from the contributor who provided it and is rights-cleared before it’s listed, so your license traces back to the source.
Contributor
Provides the data and uploads it straight to Kled.
Kled
Clears the rights before anything is listed.
Your team
Licenses it under the terms below.
License terms
Non-exclusive commercial training license.
Consent
Each contributor opted in to this use when they uploaded.
Specs reflect the current collection and may change as new data is added. Final terms are set in your license agreement.



