South Asia · Devanagari
Hindi Multilingual Speech Dataset
Hindi multilingual speech sourced to your specification — no inventory, no fixed listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.
Why multilingual speech in Hindi is its own problem
Put Hindi into a multilingual project and the biggest risk is that annotation teams draw the language boundary differently — spoken Hindi and Urdu are mutually intelligible, so the same clip can end up labeled Hindi by one team and Urdu by another. In a project that spans languages, that disagreement gets amplified.
The field to pin down first: Speaker count, hours, and recording conditions have to be listed language by language. A single project-wide total will not do.
At a glance
| Language | Hindi |
|---|---|
| Primary region | South Asia |
| Writing system | Devanagari |
| Category | Multilingual Speech |
| Specification field to settle first | Speaker count, hours, and recording conditions have to be listed language by language. A single project-wide total will not do. |
| Delivery | Sourced to order, pilot batch before the full run |
What multilingual speech data is
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
What buyers get wrong about it
The biggest risk in a multilingual project is uneven quality — annotation teams for different languages work to different standards, and once merged they drag each other down.
The specification field that decides the quote
Speaker count, hours, and recording conditions must be listed per language; a combined total does not cut it.
The language side: what Hindi demands
Hindi and Urdu are mutually intelligible at the spoken level, but one is written in Devanagari and the other in Perso-Arabic script. Which script a recording is transcribed into directly determines whether the data can feed a model targeting Urdu.
What we can put in this delivery
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Read and conversational speech
Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.
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Transcription to your convention
Orthographic or phonetic, with the guideline written before production and shared with you for review.
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Speaker metadata
Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.
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Consent documentation
Signed speaker consent covering the intended use, plus collection methodology and the annotation guideline.
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Pilot batch
A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.
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Delivery in your format
Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.
What arrives in a delivery
| Component | What it is |
|---|---|
| Audio files | Format, sampling rate and segmentation length set to your pipeline. Named to a convention you specify. |
| Transcription | Orthographic or phonetic, produced under a guideline you review before production starts. |
| Speaker metadata | Age band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced. |
| Recording conditions | Environment, device and, where relevant, measured signal-to-noise ratio per file. |
| Annotation guideline | The document the annotators worked from, so you can reproduce the conventions on your own data. |
| Consent records | Signed speaker consent covering your intended use, with the transfer mechanism addressed where required. |
| Collection methodology | How speakers were recruited, screened and scheduled — the part that tells you how biased the pool is. |
| Quality report | Pilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them. |
Questions we get about Hindi Multilingual Speech
How many distinct speakers can you provide for Hindi Multilingual Speech?
It depends on the specification and the timeline, and we will give a real number rather than a target. For this pairing, speaker recruitment is usually the step that sets the schedule. Speaker count, hours, and recording conditions have to be listed language by language. A single project-wide total will not do.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Put Hindi into a multilingual project and the biggest risk is that annotation teams draw the language boundary differently — spoken Hindi and Urdu are mutually intelligible, so the same clip can end up labeled Hindi by one team and Urdu by another. That is exactly the kind of decision a default guideline leaves open, and it is where annotators diverge. Send us your guideline, or we will draft one and you can review it before production starts.
Do you offer a sample before we commit to a full run?
Yes. Select a free sample in the request form and describe what you need. A pilot batch is the cheapest way to establish whether the quality bar is reachable for Hindi Multilingual Speech before committing to the full volume.
Is the data licensed or owned outright?
Licensing terms are set per project, so tell us how the model will be used and whether it will be distributed. Consent documentation travels with the data either way, and we do not handle medical or clinical data or recorded telephone calls.
Other datasets in Hindi
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Hindi Podcast Speech
Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.
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Hindi Noisy Speech
Speech collected under background noise — street, in-car, restaurant, office and other real environments — used for noise-robust models and speech enhancement.
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Hindi Code-Switching Speech
Speech that mixes two or more languages inside a single utterance — Hinglish, Spanglish, Taglish — used for recognition in real spoken settings.
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Hindi Children Speech
Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.
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Hindi Audiobook
Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.
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Hindi Short Video Speech
Speech in the talking-head style of short video — fast, emotionally strong, colloquial — used for short video subtitles and content understanding.
Multilingual Speech in other languages
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Arabic (Gulf) Multilingual Speech
Middle East & North Africa
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Kannada Multilingual Speech
South Asia
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Punjabi Multilingual Speech
South Asia
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Burmese Multilingual Speech
Southeast Asia
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Amharic Multilingual Speech
Sub-Saharan Africa
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Ukrainian Multilingual Speech
Europe
Request Hindi Multilingual Speech
Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline — not a range. If we cannot source it well, we will tell you that instead.
- Pilot batch before the full run, so problems surface early.
- Consent documentation delivered with the data.
- No medical or clinical data. No recorded telephone calls.