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Karnataka · ASR datasets

ASR Training Data in Bengaluru

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 Bengaluru, this runs from our local studio setup: Two booths with far-field and device-distance rigs for wake-word capture.

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

Languages recorded in Bengaluru

  • Kannada
  • Indian English
  • Hinglish
  • Tamil
  • Telugu
  • Hindi
Languages recorded in BengaluruKannadaIndian EnglishHinglishTamilTeluguHindiBengaluruKarnatakaUrban Kannada under heavy multilingual contact; the strongest Indian English pool in the countr…City choice is a data-quality decision, not a logistics one.
02

Local dialect profile

Urban Kannada under heavy multilingual contact; the strongest Indian English pool in the country.

Excellent for Indian English accent bands and technology-domain speakers; native Kannada requires residence screening.

Voice artist recording training data for an AI voice model — supporting asr training data in bengaluru
Voice artist recording training data for an AI voice model
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 Bengaluru for this work

Excellent for Indian English accent bands and technology-domain speakers; native Kannada requires residence screening.

Two booths with far-field and device-distance rigs for wake-word capture. 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 Bengaluru?

Two booths with far-field and device-distance rigs for wake-word capture.

Which languages can you collect in Bengaluru?

Kannada, Indian English, Hinglish, Tamil, Telugu, Hindi. 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 Bengaluru

Send the language, speaker count and conditions.

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