Audio annotation · TTS Voice Building
Audio Annotation for TTS Voice Building
Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema. Applied to tts voice building, the specification is driven by one thing: mos naturalness.
- Service
- Audio annotation
- Use case
- TTS Voice Building
- Primary metric
- MOS naturalness
Required data profile
- 10-40 hours from one speaker, or multi-speaker sets
- Phonetically balanced scripts
- Session-consistent acoustics
Technical specification
| Parameter | Standard |
|---|---|
| Label types | Diarisation, emotion, intent, events, language ID, quality |
| Granularity | Segment, utterance, or frame-level boundaries |
| Schema | Yours, or authored with you before work starts |
| Agreement | Multi-annotator overlap on a defined percentage |
| Tooling | Client tooling supported; otherwise our annotation workflow |
Process
- Schema definition and edge-case documentation
- Annotator training and gold-set calibration
- Production annotation with gold items seeded in
- Adjudication of disagreements by a senior reviewer
- Delivery with per-label agreement statistics
Metrics this feeds
- MOS naturalness
- Pronunciation accuracy on loanwords and names
- Prosody stability across long utterances
Failure modes to design out
- Session drift between recording days
- Scripts that under-cover rare phonemes
- Uncleared voice-talent licensing
Gold items are seeded throughout production so drift is caught during the run, not at delivery.
Deliverables
- Labelled data in your schema
- Gold set and calibration results
- Per-label agreement statistics
- Edge-case log
Frequently asked
Is audio annotation the right service for tts voice building?
It covers 10-40 hours from one speaker, or multi-speaker sets. Most tts voice building programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope audio annotation for tts voice building
Send the metric you need to move.