Voice recording · Accent Adaptation
Voice Recording for AI Training for Accent Adaptation
Studio voice recording built for model training rather than broadcast: controlled acoustics, consistent mic distance, and reproducible session parameters across every speaker. Applied to accent adaptation, the specification is driven by one thing: per-accent wer spread.
- Service
- Voice recording
- Use case
- Accent Adaptation
- Primary metric
- Per-accent WER spread
Required data profile
- Accent-band balanced speech with substrate-language tags
- Matched content across bands for controlled comparison
Technical specification
| Parameter | Standard |
|---|---|
| Sample rate | 48 kHz |
| Bit depth | 24-bit |
| Microphone | Large-diaphragm condenser, fixed distance, pop filter |
| Room | Treated booth, RT60 under 0.3s |
| Processing | None. No compression, EQ, or noise reduction on delivered audio |
| Session length | 30-90 minutes per speaker, with breaks logged |
Process
- Session template definition so every studio in the network records identically
- Speaker briefing and pronunciation calibration
- Take-level monitoring with immediate re-record on defect
- Per-session technical report
- Delivery with unprocessed masters
Metrics this feeds
- Per-accent WER spread
- Regression on the original accent set
Failure modes to design out
- Treating Indian English as one accent
- No substrate tagging, so the model cannot be evaluated per band
Delivered audio is never processed. Training pipelines should see the raw capture so augmentation stays under your control.
Deliverables
- Unprocessed WAV masters
- Session logs
- Take-level metadata
- Speaker consent records
Frequently asked
Is voice recording the right service for accent adaptation?
It covers accent-band balanced speech with substrate-language tags. Most accent adaptation 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 voice recording for accent adaptation
Send the metric you need to move.