aidataservices.inAI data collection · India

Maharashtra · ASR datasets

ASR Training Data in Pune

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 Pune, this runs from our local studio setup: Booth with long-session capacity suited to TTS voice builds.

Request a dataset quoteReply within one working day
Audio waveforms being prepared as ASR training data — ASR Training Data in Pune
City
Pune, Maharashtra
Languages here
4
Turnaround
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
01

Languages recorded in Pune

  • Marathi
  • Hindi
  • Hinglish
  • Indian English
Languages recorded in PuneMarathiHindiHinglishIndian EnglishPuneMaharashtraPuneri Marathi, the prestige standard, with a large student population for younger age bands.City choice is a data-quality decision, not a logistics one.
02

Local dialect profile

Puneri Marathi, the prestige standard, with a large student population for younger age bands.

Strongest standard-Marathi pool and easy 18-25 age-band filling.

Two-speaker conversational recording session in a studio — supporting asr training data in pune
Two-speaker conversational recording session in a studio
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 Pune for this work

Strongest standard-Marathi pool and easy 18-25 age-band filling.

Booth with long-session capacity suited to TTS voice builds. 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 Pune?

Booth with long-session capacity suited to TTS voice builds.

Which languages can you collect in Pune?

Marathi, Hindi, Hinglish, 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 Pune

Send the language, speaker count and conditions.

Request a dataset quote