South Asia · Devanagari
Nepali Multilingual Speech Dataset
Nepali 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 Nepali is its own problem
Spoken Nepali and Hindi are mutually intelligible to a fair degree, especially in the border regions, so annotators in a multilingual project tend to misclassify Nepali recordings as Hindi. This needs explicit decision rules, not annotator intuition.
The field to pin down first: Provide decision rules and boundary examples for Nepali versus Hindi, and spot-check language label accuracy during QC.
At a glance
| Language | Nepali |
|---|---|
| Primary region | South Asia |
| Writing system | Devanagari |
| Category | Multilingual Speech |
| Specification field to settle first | Provide decision rules and boundary examples for Nepali versus Hindi, and spot-check language label accuracy during QC. |
| 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 Nepali demands
Usable Nepali speech data is surprisingly scarce, and the accent layers of speakers across borders (Nepal, Sikkim in India, Bhutan) are poorly mapped. Speaker metadata — nationality, home region, language of education — has to be recorded item by item.
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 Nepali Multilingual Speech
How many distinct speakers can you provide for Nepali 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. Provide decision rules and boundary examples for Nepali versus Hindi, and spot-check language label accuracy during QC.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Spoken Nepali and Hindi are mutually intelligible to a fair degree, especially in the border regions, so annotators in a multilingual project tend to misclassify Nepali recordings as Hindi. 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 Nepali 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 Nepali
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Nepali In-the-Wild Speech
Speech collected under fully natural conditions — no studio, no topic constraints — as close to real usage as collection gets.
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Nepali Call Center Speech
Recorded customer-service calls, real or simulated, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.
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Nepali Conversational Speech
Speech from natural conversation between two or more people, on open or semi-structured topics, used for conversational AI, voice assistants, and small talk models.
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Nepali Singing Voice
Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.
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Nepali Speech Commands
Targeted recordings of short command words or phrases, usually with many speakers reading each entry several times over, used for wake words and on-device command recognition.
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Nepali Read Speech
Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.
Multilingual Speech in other languages
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Arabic (MSA) Multilingual Speech
Middle East & North Africa
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Indonesian Multilingual Speech
Southeast Asia
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Thai Multilingual Speech
Southeast Asia
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Turkish Multilingual Speech
Middle East & Europe
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Vietnamese Multilingual Speech
Southeast Asia
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Filipino Multilingual Speech
Southeast Asia
Request Nepali 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.