Ready-made Punjabi speech datasets

Availability is confirmed per enquiry. Some material can only be licensed within the consent scope the speakers originally agreed to, and we will not stretch that to close a sale.

• Consent scope: does it permit commercial model training, and by a third party?
• Dialect distribution: a corpus that is 90% one urban variety will not generalise across Punjab, Haryana, Delhi
• Recording conditions: studio-only data underperforms badly on noisy deployments
• Transcription convention: Tone is unrepresented in text, so pronunciation lexicons must be built from audio, not from spelling will otherwise surface as tokenisation noise
• Overlap: check whether the corpus already sits in the public sets you trained on

Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.

This is usually the reason buyers move from licensing to commissioning: the free and cheap material covers the easy half of the language.

• Dialect spread across Majhi (standard), Malwai, Doabi, Puadhi rather than a single prestige variety
• The phonetic contrasts that Punjabi models actually get wrong: Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
• Code-mixed speech transcribed rather than discarded — Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
• Recording geography covering Amritsar, Ludhiana, Jalandhar, Chandigarh, since dialect follows location
• Utterance types beyond read prompts: Minimal-pair tone elicitation sets, Agricultural and rural-finance domain conversation, Spontaneous conversation across Majha, Malwa and Doaba

Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them.