Catalogue · Hinglish
Ready-made Hinglish speech datasets
Corpora already recorded in Hinglish and available under licence, plus what to check before buying existing data instead of commissioning a build.
- Language
- Hinglish (hi-Latn-IN)
- Licence
- Perpetual, commercial, model-training permitted
- Availability
- Subject to consent scope; confirmed on enquiry
- Lead time
- Days, not weeks
Available corpus types
| Corpus | Typical band | Annotation | Best for |
|---|---|---|---|
| Hinglish scripted speech | 100-500 hours | Verbatim + timestamps | Prompt-read speech from a phonetically balanced script, the baseline corpus type for ASR and TTS training. |
| Hinglish spontaneous speech | 100-500 hours | Verbatim + timestamps | Unscripted monologue on prompted topics, which carries the disfluencies and prosody that scripted data never produces. |
| Hinglish conversational speech | 100-500 hours | Verbatim + speaker turns + timestamps | Two-party conversation recorded on separate channels, with overlap and turn-taking preserved. |
| Hinglish telephony speech | 50-300 hours | Verbatim + timestamps | Narrowband call audio captured over a telephony path, matching what a deployed contact-centre model actually receives. |
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.
Ready-made versus commissioned
| Ready-made | Commissioned build | |
|---|---|---|
| Lead time | Days | 3-16 weeks |
| Cost per hour | Lower | Higher |
| Cohort control | Fixed by the original spec | Yours |
| Dialect quotas | As recorded | Designed |
| Exclusivity | Non-exclusive | Exclusive if you want it |
| Best for | Baselines, prototypes, augmentation | Production models |
What to check before licensing existing data
- 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 Delhi NCR, Mumbai, Bengaluru
- Recording conditions: studio-only data underperforms badly on noisy deployments
- Transcription convention: Whether English tokens are written in Latin or transliterated into Devanagari must be fixed by rule, not left to annotators will otherwise surface as tokenisation noise
- Overlap: check whether the corpus already sits in the public sets you trained on
Where the public corpora fall short
Almost no public corpus contains genuine intra-sentential Hindi-English switching with per-token language tags. This is the highest-value gap for anyone building Indian conversational AI.
This is usually the reason buyers move from licensing to commissioning: the free and cheap material covers the easy half of the language.
What a usable Hinglish corpus has to cover
- Dialect spread across Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register rather than a single prestige variety
- The phonetic contrasts that Hinglish models actually get wrong: Intra-sentential switching means English words carry Indian phonology, so English acoustic models mis-transcribe them
- Code-mixed speech transcribed rather than discarded — Hinglish is the code-mixing case itself. Typical urban customer-support speech is 30-60% English tokens embedded in Hindi grammar, with switching several times per utterance.
- Recording geography covering Delhi, Gurugram, Noida, Mumbai, since dialect follows location
- Utterance types beyond read prompts: Simulated customer-support calls with natural switching, Two-party spontaneous conversation between colleagues, Voice-assistant commands with English app and brand names
Recruit by switching behaviour, not by language proficiency. Screening recordings are used to confirm speakers switch naturally rather than performing one language.
Frequently asked
Can I buy an existing Hinglish dataset today?
Where a corpus exists within an appropriate consent and licence scope, yes — usually within days. We confirm availability against your intended use before quoting.
Is the licence exclusive?
Ready-made corpora are licensed non-exclusively. Exclusivity is available on commissioned builds.
Can we augment a ready-made corpus with new recordings?
That is the most common pattern: licence the base, then commission the dialects, conditions or domain vocabulary it lacks.
Do you provide a data sheet?
Yes — speaker counts, demographic distribution, condition mix, annotation convention and known limitations, before you commit.
Related pages
Check Hinglish availability
Tell us the hours, corpus type and intended use. We confirm what is licensable now and what needs recording.