Hindi Speech Data Collection in Mumbai

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

Urban Hindi speech is Hinglish in practice. Expect 15-40% English tokens in spontaneous speech: numbers, brands, technology terms, and whole clause switches. Any Hindi corpus that excludes English tokens will not match production traffic.

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

Largest recruitment pool in the network. A 1,000-speaker Hindi cohort with balanced gender and 18-45 age bands is typically fielded across four cities to avoid a single-city accent bias.

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

• Inconsistent Devanagari vs romanised spelling for the same English loan word
• Nukta characters (क़ ख़ ग़ ज़ फ़) applied inconsistently by transcribers
• Numerals: whether to write digits, Devanagari numerals, or spelled-out words must be fixed in the style guide up front
• Honorific verb forms create long agreement chains that annotators shorten unless the guide forbids it

• Scripted prompt reading (phonetically balanced sentence sets)
• Wake-word and command-and-control utterances
• Digit strings, dates, amounts, and Indian address formats
• Two-party spontaneous conversation on everyday topics
• Simulated call-centre calls: billing, delivery, recharge, banking

A Mumbai-only cohort is appropriate when you are targeting this market specifically. For a general Hindi model, spread the cohort across Delhi, Lucknow, Jaipur as well.