aidataservices.inAI data collection · India

Multilingual collection · ASR Model Training

Multilingual Data Collection for ASR Model Training

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 asr model training, the specification is driven by one thing: word error rate overall and per dialect.

Request a dataset quoteReply within one working day
Audio waveforms being prepared as ASR training data — Multilingual Data Collection for ASR Model Training
Service
Multilingual collection
Use case
ASR Model Training
Primary metric
Word error rate overall and per dialect
01

Required data profile

  • Hundreds to thousands of hours of verbatim-transcribed speech
  • Wide speaker diversity: age, gender, region, education, recording condition
  • Speaker-disjoint train/dev/test splits
Multilingual collection — ASR Model Training · written into the SOW before recordingLanguagesUp to 14 Indian languages plus Indian English in one progra…ConsistencyOne spec, one manifest schema, one QA standard across all l…BalancePer-language quotas set independently to match your deploym…ReportingSingle consolidated progress view across languagesYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
LanguagesUp to 14 Indian languages plus Indian English in one programme
ConsistencyOne spec, one manifest schema, one QA standard across all languages
BalancePer-language quotas set independently to match your deployment mix
ReportingSingle consolidated progress view across languages
Field recording session with a rural speaker in India — supporting multilingual data collection for asr model training
Field recording session with a rural speaker in India
03

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
04

Metrics this feeds

  • Word error rate overall and per dialect
  • Entity error rate on names and numbers
  • Code-switch token accuracy
05

Failure modes to design out

  • Read-speech-only corpora that do not transfer to spontaneous audio
  • Speaker leakage across splits inflating reported accuracy
  • Normalised-only transcripts with the raw text discarded

The hardest language sets the timeline. Low-resource languages such as Assamese and Odia should start first.

06

Deliverables

  • Per-language datasets in one schema
  • Cross-language coverage report
  • Consolidated QA summary

Frequently asked

Is multilingual collection the right service for asr model training?

It covers hundreds to thousands of hours of verbatim-transcribed speech. Most asr model training 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 asr model training

Send the metric you need to move.

Request a dataset quote