In brief
Speech and audio data supports speech recognition, text-to-speech, translation and audio understanding. A voice is closely tied to identity, so documented speaker consent covering AI training is usually the deciding factor — ahead of volume.
How audio data is used
- Speech recognition across languages, accents and noisy conditions
- Speech synthesis and voice models (strictest consent requirements)
- Conversational and call-centre style dialogue, where lawfully obtained
- Music, ambient and sound-event recognition
Consent comes first
Voice recordings can be personal data. Buyers will want to know whether speakers agreed to AI training specifically, whether recordings can be used for voice cloning, and whether consent can be withdrawn. See the GDPR for the EU baseline.
Note
Do not submit recorded calls or meetings unless every participant consented to this use. Our form asks only whether personal data is present — never for the recordings themselves.
Metadata that adds value
| Field | Why it matters |
|---|---|
| Hours and speaker count | Signals scale and diversity |
| Languages, dialects, accents | Coverage gaps are often what buyers are filling |
| Recording conditions & sample rate | Determines suitable uses |
| Transcripts and alignment | Transcribed audio is generally more useful |
| Consent scope | Determines whether the data can be licensed at all |