South Asia · Gurmukhi / Shahmukhi
Punjabi Singing Voice Dataset
Punjabi singing voice 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 singing voice in Punjabi is its own problem
Punjabi music has a genuine global market, and that is exactly what complicates the data: a large share of recorded output comes from diaspora artists in the UK and Canada whose Punjabi is saturated with English, while home-market songs lean toward Urdu or Hindi phrasing depending on the side. Lyric sheets circulate in three forms — Gurmukhi, Shahmukhi, and Roman — and alignment has to pick one. The tonal trap is that a sung word loses the tone separating it from its minimal-pair partner, so alignment without a lexical-tone column can attach the wrong word to the wrong notes.
The field to pin down first: State which script the lyric annotation uses, how English and Urdu lines are tagged, and whether each syllable carries the lexical tone of the lyric alongside the sung pitch — the two not agreeing is normal and has to be documented.
At a glance
| Language | Punjabi |
|---|---|
| Primary region | South Asia |
| Writing system | Gurmukhi / Shahmukhi |
| Category | Singing Voice |
| Specification field to settle first | State which script the lyric annotation uses, how English and Urdu lines are tagged, and whether each syllable carries the lexical tone of the lyric alongside the sung pitch — the two not agreeing is normal and has to be documented. |
| Delivery | Sourced to order, pilot batch before the full run |
What singing voice data is
Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.
What buyers get wrong about it
Copyright is the number one problem for this category — melody and lyrics each have their own rights holder. We only produce original or fully cleared content, never existing commercial tracks.
The specification field that decides the quote
Whether the accompaniment is separated (dry vocal) or the mix is kept, and whether MIDI or pitch annotation comes with it.
The language side: what Punjabi demands
Punjabi is the classic case of one spoken language with two scripts: Gurmukhi on the Indian side and Shahmukhi (a Perso-Arabic system) on the Pakistani side. The same passage written on either side cannot be cross-searched against the other.
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 Punjabi Singing Voice
How many distinct speakers can you provide for Punjabi Singing Voice?
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. State which script the lyric annotation uses, how English and Urdu lines are tagged, and whether each syllable carries the lexical tone of the lyric alongside the sung pitch — the two not agreeing is normal and has to be documented.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Punjabi music has a genuine global market, and that is exactly what complicates the data: a large share of recorded output comes from diaspora artists in the UK and Canada whose Punjabi is saturated with English, while home-market songs lean toward Urdu or Hindi phrasing depending on the side. 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 Punjabi Singing Voice 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 Punjabi
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Punjabi Read Speech
Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.
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Punjabi 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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Punjabi Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
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Punjabi 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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Punjabi 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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Punjabi Children Speech
Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.
Singing Voice in other languages
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Arabic (MSA) Singing Voice
Middle East & North Africa
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Indonesian Singing Voice
Southeast Asia
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Thai Singing Voice
Southeast Asia
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Turkish Singing Voice
Middle East & Europe
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Vietnamese Singing Voice
Southeast Asia
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Filipino Singing Voice
Southeast Asia
Request Punjabi Singing Voice
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.