South Asia · Gurmukhi / Shahmukhi
Punjabi Call Center Speech Dataset
Punjabi call center 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 call center speech in Punjabi is its own problem
A Punjabi call center sits on one side of the border or the other, and the two run different language mixes. On the Pakistani side the agent works in Urdu with English process terms and slides into Punjabi with the caller; on the Indian side the base is Hindi with English, and Punjabi comes in from the caller. The script question lands immediately: a transcript written in the Gurmukhi script is unreadable to a Lahore annotator and one in Shahmukhi is unreadable in Amritsar, so the delivery has to commit to one script before collection starts.
The field to pin down first: Every agent and caller gets their side of the border and their dialect annotated, and the transcript script is fixed in the contract annex — a batch transcribed in the wrong script cannot be converted afterwards without a full re-annotation.
At a glance
| Language | Punjabi |
|---|---|
| Primary region | South Asia |
| Writing system | Gurmukhi / Shahmukhi |
| Category | Call Center Speech |
| Specification field to settle first | Every agent and caller gets their side of the border and their dialect annotated, and the transcript script is fixed in the contract annex — a batch transcribed in the wrong script cannot be converted afterwards without a full re-annotation. |
| Delivery | Sourced to order, pilot batch before the full run |
What call center speech data is
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.
What buyers get wrong about it
Compliance is what buyers fear most — call recordings involve personal data and recording consent, and the source has to be able to produce a consent provenance. This is also why we only do simulated collection and never work from intercepted real calls.
The specification field that decides the quote
Two-channel separated (agent and caller on separate tracks) or single-channel mixed — this directly determines how the data is annotated and how models are trained on it, and it has to be decided when the order is placed.
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 Call Center Speech
How many distinct speakers can you provide for Punjabi Call Center 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. Every agent and caller gets their side of the border and their dialect annotated, and the transcript script is fixed in the contract annex — a batch transcribed in the wrong script cannot be converted afterwards without a full re-annotation.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. A Punjabi call center sits on one side of the border or the other, and the two run different language mixes. 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 Call Center 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 Punjabi
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Punjabi 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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Punjabi 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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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.
Call Center Speech in other languages
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Uzbek Call Center Speech
Central Asia & Caucasus
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Hindi Call Center Speech
South Asia
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Arabic (MSA) Call Center Speech
Middle East & North Africa
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Indonesian Call Center Speech
Southeast Asia
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Thai Call Center Speech
Southeast Asia
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Turkish Call Center Speech
Middle East & Europe
Request Punjabi Call Center 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.