Hindi Speech Data Collection in Nagpur

Varhadi Marathi, materially different from Puneri standard and largely missing from public corpora.

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.

The key site for Vidarbha dialect coverage.

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.

Partner booth with mobile capture for surrounding districts.

• 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 Nagpur-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.