Southeast Asia · Khmer

Khmer Elderly Voice Dataset

Khmer Elderly Voice delivered to your specification. A catalog entry, not a stock listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

A person seen from behind pressing both hands against their headphones, in black and white

Why Elderly Voice in Khmer is its own problem

Older Khmer speakers use a more formal register, especially with strangers and elders, drawing on higher register vocabulary layers. Their register distribution differs clearly from younger speakers' colloquial lean, and it needs annotation.

The field to pin down first: Record register usage; deliver in batches by age band and describe the register distribution for each.

At a glance

LanguageKhmer
Primary regionSoutheast Asia
Writing systemKhmer
CategoryElderly Voice
Specification field to settle firstRecord register usage; deliver in batches by age band and describe the register distribution for each.
DeliverySourced to order, pilot batch before the full run

What Elderly Voice data is

Speech data from elderly speakers, usually stratified by age band and health status, used for voice products built for older users.

What buyers get wrong about it

Speaking rate, volume, and articulation vary enormously across elderly speakers, and recruiting them is hard. Too small a sample and the model simply skews toward younger users.

The specification field that decides the quote

Age stratification and whether speakers with speech disorders are included must be stated up front.

The language side: what Khmer demands

Khmer script has no spaces between words, and it contains many letters that are written but not pronounced. The transcription convention has to be set first: write as spelled (orthographic) or write as spoken (phonemic). Data produced under the two conventions cannot be mixed.

More on Khmer speech data →

What we can put in this delivery

  • Collection to your specification

    Scripted or unscripted, in the language, domain and conditions your task needs. Specified separately where the variants need different contributor pools.

  • Labels to your convention

    Orthographic, phonetic or categorical, with the guideline written before production and shared with you for review.

  • Contributor metadata

    The attributes that let you slice the set rather than take it whole. The ones your task turns on, not a fixed list.

  • Consent documentation

    Signed contributor consent covering the intended use, plus collection methodology and the annotation guideline.

  • Pilot batch

    A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.

  • Delivery in your format

    File format, structure, segmentation and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
The data filesFormat, structure and segmentation set to your pipeline. Named to a convention you specify.
Labels or transcriptionOrthographic, phonetic or categorical, produced under a guideline you review before production starts.
Contributor metadataThe attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on.
Collection conditionsEnvironment, device and, where it can be measured, signal quality: recorded per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned contributor consent covering your intended use, plus cross-border transfer terms where they apply.
Collection methodologyHow contributors were recruited, screened and scheduled. The part that tells you how biased the pool is.
Quality reportPilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them.

Questions we get about Khmer Elderly Voice Dataset

How many distinct speakers can you provide for Khmer Elderly Voice Dataset?

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. Record register usage; deliver in batches by age band and describe the register distribution for each.

Can you annotate to our own guideline instead of the default?

Yes, and for this pairing we would recommend it. Older Khmer speakers use a more formal register, especially with strangers and elders, drawing on higher register vocabulary layers. 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 Khmer Elderly Voice Dataset 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 Khmer

  • Khmer Speech Commands

    Speech

    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.

  • Khmer Read Speech

    Speech

    Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.

  • Khmer Podcast Speech

    Speech

    Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.

  • Khmer Multilingual Speech

    Speech

    Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.

  • Khmer Noisy Speech

    Speech

    Speech collected under background noise (street, in-car, restaurant, office and other real environments), used for noise-robust models and speech enhancement.

  • Khmer Code-Switching Speech

    Speech

    Speech that mixes two or more languages inside a single utterance (Hinglish, Spanglish, Taglish), used for recognition in real spoken settings.

All Khmer data →

Elderly Voice in other languages

All Elderly Voice data →

Request Khmer Elderly Voice Dataset

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.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

  1. You send the spec Language, hours, recording conditions, and the deadline.
  2. We reply within two business days A real number and a real timeline, not a range.
  3. You approve a pilot batch A small run first, so problems surface before the full order.
  4. Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.
Contact

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Send a specification and we will come back with a real number and timeline.

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