Speech and audio data
Speech and audio data is recorded voice and sound, with transcripts and speaker metadata, used to train speech recognition, synthesis and voice agents.
Last reviewed
What speech and audio data contains
- Audio recordings
- Verbatim transcripts
- Speaker age, accent and language tags
- Consent records
Who buys it and how it is priced
| Attribute | Value |
|---|---|
| Belongs to | multimodal training data |
| Main buyers | Speech AI developers and voice-agent builders |
| Pricing | Priced per hour of audio, with premiums for rare languages, accents, noisy environments and conversational dialogue. |
Quality criteria and risks
Quality criteria
- Speaker consent
- Transcript accuracy
- Language and accent coverage
- Recording conditions
Risks
- Voice cloning misuse
- Biometric privacy laws
- Missing consent
Providers that list speech and audio data
Auction and pricing mechanisms that fit
- Posted-price sale: Fits catalogue datasets that can be sold many times, such as cloud data exchange listings.
- Reverse auction: Fits a buyer that knows what it needs and wants several vendors to compete, such as sourcing expert data from labs.
Key terms
- PII
- PII, or personally identifiable information, is any data that can identify a specific person.
- data provenance
- Data provenance is the documented history of where data came from, who created it and what rights attach to it.
- annotation
- Annotation is the process of adding labels, ratings or structure to raw data so a model can learn from it.
Frequently asked questions
- Why do rare-language recordings cost more?
- Supply is scarce and hard to collect, while a small number of buyers need coverage. That raises the price per hour.