Ready-made Telugu 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 Andhra Pradesh, Telangana, parts of Karnataka and Odisha
• Recording conditions: studio-only data underperforms badly on noisy deployments
• Transcription convention: Telangana forms normalised to Coastal Andhra standard will otherwise surface as tokenisation noise
• Overlap: check whether the corpus already sits in the public sets you trained on

Coastal Andhra read speech dominates. Telangana rural and Rayalaseema speech is thin, despite Hyderabad being the largest deployment market.

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 Telangana, Coastal Andhra (Godavari), Rayalaseema, Srikakulam rather than a single prestige variety
• The phonetic contrasts that Telugu models actually get wrong: Vowel-length contrasts are phonemic and short/long confusion changes meaning outright
• Code-mixed speech transcribed rather than discarded — Hyderabad speech mixes Telugu, Urdu/Deccani, Hindi and English. A Telugu dataset for Hyderabad deployment must include Urdu-origin vocabulary.
• Recording geography covering Hyderabad, Vijayawada, Visakhapatnam, Warangal, since dialect follows location
• Utterance types beyond read prompts: Region-tagged spontaneous conversation across all four dialect zones, Banking, agriculture and government-service domain prompts, Deccani-influenced Hyderabadi Telugu sessions

Split cohorts explicitly between Telangana and Andhra Pradesh and tag every speaker; models trained without the tag cannot be evaluated per region.