Translation · Speech Emotion Recognition
Translation & Localisation Data for Speech Emotion Recognition
Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to speech emotion recognition, the specification is driven by one thing: per-class f1.

- Service
- Translation
- 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 |
|---|---|
| Direction | English to Indian languages and between Indian languages |
| Output | Sentence-aligned parallel corpora |
| Register | Formal, colloquial, or matched to your product tone |
| Review | Independent bilingual review pass |
| Terminology | Client glossary enforced and returned updated |

Process
- Glossary and register agreement
- Translation by native speakers of the target language
- Independent bilingual review
- Alignment verification
- Delivery with terminology report
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
Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.
Deliverables
- Sentence-aligned parallel data
- Updated glossary
- Reviewer notes on ambiguous source
Frequently asked
Is translation 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 translation for speech emotion recognition
Send the metric you need to move.