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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.

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Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for Speech Emotion Recognition
Service
Translation
Use case
Speech Emotion Recognition
Primary metric
Per-class F1
01

Required data profile

  • Elicited and natural emotional speech
  • Multi-rater emotion labels with adjudication
  • Balanced across emotion classes
Translation — Speech Emotion Recognition · written into the SOW before recordingDirectionEnglish to Indian languages and between Indian languagesOutputSentence-aligned parallel corporaRegisterFormal, colloquial, or matched to your product toneReviewIndependent bilingual review passTerminologyClient glossary enforced and returned updatedYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
DirectionEnglish to Indian languages and between Indian languages
OutputSentence-aligned parallel corpora
RegisterFormal, colloquial, or matched to your product tone
ReviewIndependent bilingual review pass
TerminologyClient glossary enforced and returned updated
Two speakers recording natural conversational speech data — supporting translation & localisation data for speech emotion recognition
Two speakers recording natural conversational speech data
03

Process

  • Glossary and register agreement
  • Translation by native speakers of the target language
  • Independent bilingual review
  • Alignment verification
  • Delivery with terminology report
04

Metrics this feeds

  • Per-class F1
  • Inter-rater agreement on labels
  • Escalation detection latency
05

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.

06

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.

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