Multilingual collection · Speech Emotion Recognition
Multilingual Data Collection for Speech Emotion Recognition
Parallel programmes across several Indian languages at once, run to one specification so the resulting datasets are comparable rather than a set of incompatible deliveries. Applied to speech emotion recognition, the specification is driven by one thing: per-class f1.
- Service
- Multilingual collection
- 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 |
|---|---|
| Languages | Up to 14 Indian languages plus Indian English in one programme |
| Consistency | One spec, one manifest schema, one QA standard across all languages |
| Balance | Per-language quotas set independently to match your deployment mix |
| Reporting | Single consolidated progress view across languages |
Process
- Master specification written once and localised per language
- Per-language linguistic review of prompts and guides
- Parallel fielding across studio cities
- Central QA applying identical thresholds
- Consolidated delivery with per-language reports
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 hardest language sets the timeline. Low-resource languages such as Assamese and Odia should start first.
Deliverables
- Per-language datasets in one schema
- Cross-language coverage report
- Consolidated QA summary
Frequently asked
Is multilingual collection 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 multilingual collection for speech emotion recognition
Send the metric you need to move.