Transcription · Speech Emotion Recognition
Transcription Services for Speech Emotion Recognition
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 speech emotion recognition, the specification is driven by one thing: per-class f1.
- Service
- Transcription
- Use case
- Speech Emotion Recognition
- Primary metric
- Per-class F1
Required data profile
- Elicited and natural emotional speech
- Multi-rater emotion labels with adjudication
- Balanced across emotion classes
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
- Per-class F1
- Inter-rater agreement on labels
- Escalation detection latency
Failure modes to design out
- Acted emotion only
- Single-rater labels on an inherently subjective task
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 speech emotion recognition?
It covers elicited and natural emotional speech. Most speech emotion recognition 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 speech emotion recognition
Send the metric you need to move.