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ASR Training Data in Mumbai

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 Mumbai, this runs from our local studio setup: Treated booths in the western suburbs with parallel session capacity for multi-speaker conversation work.

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Audio waveforms being prepared as ASR training data — ASR Training Data in Mumbai
City
Mumbai, Maharashtra
Languages here
6
Turnaround
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
01

Languages recorded in Mumbai

  • Marathi
  • Hindi
  • Hinglish
  • Gujarati
  • Urdu
  • Indian English
Languages recorded in MumbaiMarathiHindiHinglishGujaratiUrduIndian EnglishMumbaiMaharashtraBambaiya Hindi-Marathi contact speech with constant three-way switching; the densest code-mixin…City choice is a data-quality decision, not a logistics one.
02

Local dialect profile

Bambaiya Hindi-Marathi contact speech with constant three-way switching; the densest code-mixing environment in India.

Migrant-heavy, so speakers of almost any Indian language can be found, but native-region screening is essential.

Speaker reading a prompt script into a studio microphone — supporting asr training data in mumbai
Speaker reading a prompt script into a studio microphone
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 Mumbai for this work

Migrant-heavy, so speakers of almost any Indian language can be found, but native-region screening is essential.

Treated booths in the western suburbs with parallel session capacity for multi-speaker conversation work. 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 Mumbai?

Treated booths in the western suburbs with parallel session capacity for multi-speaker conversation work.

Which languages can you collect in Mumbai?

Marathi, Hindi, Hinglish, Gujarati, 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 Mumbai

Send the language, speaker count and conditions.

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