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Delhi NCR · ASR datasets

ASR Training Data in Delhi

Transcribed speech corpora built to train and evaluate automatic speech recognition, with verbatim transcription, timestamps and per-token language tagging where code-mixing occurs. In Delhi, this runs from our local studio setup: Multi-booth facility with telephony-path simulation for call-centre datasets.

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Audio waveforms being prepared as ASR training data — ASR Training Data in Delhi
City
Delhi, Delhi NCR
Languages here
5
Turnaround
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
01

Languages recorded in Delhi

  • Hindi
  • Hinglish
  • Punjabi
  • Urdu
  • Indian English
Languages recorded in DelhiHindiHinglishPunjabiUrduIndian EnglishDelhiDelhi NCRKhari Boli Hindi with strong Punjabi and Haryanvi influence; corporate Hinglish is the default …City choice is a data-quality decision, not a logistics one.
02

Local dialect profile

Khari Boli Hindi with strong Punjabi and Haryanvi influence; corporate Hinglish is the default professional register.

Largest single-city Hindi pool, plus deep Punjabi and Urdu availability.

Data visualisation of studio and field recording coverage across India — supporting asr training data in delhi
Data visualisation of studio and field recording coverage across India
03

Technical specification

ParameterStandard
Audio16 kHz or 48 kHz PCM WAV
TranscriptionVerbatim, including disfluencies, false starts and fillers
TimestampsUtterance level by default; word level on request
TaggingNoise, overlap, unintelligible, foreign-language and code-switch tags
NormalisationRaw and normalised text columns delivered separately
SplitTrain/dev/test splits with no speaker leakage across splits
04

Process

  • Style guide authored per language, covering numerals, loanwords, script and disfluency rules
  • Transcriber calibration round with inter-annotator agreement measurement
  • First-pass transcription
  • Second-pass native review
  • Automated consistency checks against the style guide
  • Split generation with speaker-disjoint partitions
05

Deliverables

  • Audio plus aligned transcripts (JSON/TSV, or your schema)
  • Style guide as delivered documentation
  • Inter-annotator agreement report
  • Speaker-disjoint train/dev/test splits
06

Why Delhi for this work

Largest single-city Hindi pool, plus deep Punjabi and Urdu availability.

Multi-booth facility with telephony-path simulation for call-centre datasets. Sessions here follow the same template as every other city in the network, so a multi-city cohort stays acoustically consistent.

Frequently asked

Do you have a studio in Delhi?

Multi-booth facility with telephony-path simulation for call-centre datasets.

Which languages can you collect in Delhi?

Hindi, Hinglish, Punjabi, Urdu, Indian English. Other languages are possible where migrant communities are present, with residence and nativeness screening.

Can sessions run outside the studio?

Yes. Field recording in homes, vehicles and public spaces is available where your deployment conditions require it, with noise profiles documented per session.

Book asr datasets in Delhi

Send the language, speaker count and conditions.

Request a dataset quote