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Gujarat · ASR datasets

ASR Training Data in Ahmedabad

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 Ahmedabad, this runs from our local studio setup: Booth with business-domain scenario library.

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Audio waveforms being prepared as ASR training data — ASR Training Data in Ahmedabad
City
Ahmedabad, Gujarat
Languages here
3
Turnaround
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
01

Languages recorded in Ahmedabad

  • Gujarati
  • Hindi
  • Hinglish
Languages recorded in AhmedabadGujaratiHindiHinglishAhmedabadGujaratStandard Amdavadi Gujarati; trade and finance vocabulary is heavily English.City choice is a data-quality decision, not a logistics one.
02

Local dialect profile

Standard Amdavadi Gujarati; trade and finance vocabulary is heavily English.

Large Gujarati pool across age bands; Surat needed for dialect spread.

Diverse Indian speakers waiting for multilingual data collection sessions — supporting asr training data in ahmedabad
Diverse Indian speakers waiting for multilingual data collection sessions
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 Ahmedabad for this work

Large Gujarati pool across age bands; Surat needed for dialect spread.

Booth with business-domain scenario library. 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 Ahmedabad?

Booth with business-domain scenario library.

Which languages can you collect in Ahmedabad?

Gujarati, Hindi, Hinglish. 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 Ahmedabad

Send the language, speaker count and conditions.

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