Transcription · LLM Evaluation
Transcription Services for LLM Evaluation
Verbatim and clean-read transcription of Indian-language audio by native speakers of the target variety, delivered against a written style guide with measured agreement. Applied to llm evaluation, the specification is driven by one thing: rubric scores with confidence intervals.
- Service
- Transcription
- Use case
- LLM Evaluation
- Primary metric
- Rubric scores with confidence intervals
Required data profile
- Native-speaker rater panels per language
- Rubric-based scoring with calibration
- Overlapping assignments for agreement
Technical specification
| Parameter | Standard |
|---|---|
| Modes | Verbatim, clean verbatim, or clean-read |
| Timestamps | Utterance or word level |
| Script | Native script, romanised, or dual-script delivery |
| Tags | Speaker, noise, overlap, unintelligible, code-switch |
| Accuracy target | 99% on clean studio audio; agreed per-project on field audio |
Process
- Style guide authoring and client sign-off
- Transcriber calibration and agreement measurement
- First pass transcription
- Independent second-pass review
- Automated rule checks and delivery
Metrics this feeds
- Rubric scores with confidence intervals
- Inter-rater agreement
- Failure-mode distribution
Failure modes to design out
- Raters who are fluent but not native in the variety
- Rubrics written in English and applied to non-English output without localisation
The style guide is the deliverable that determines whether your data is usable. It is written first and shipped with the data.
Deliverables
- Transcripts in your schema
- Style guide
- QA and agreement report
Frequently asked
Is transcription the right service for llm evaluation?
It covers native-speaker rater panels per language. Most llm evaluation 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 transcription for llm evaluation
Send the metric you need to move.