Southeast Asia · Khmer
Khmer Conversational Speech Dataset
Khmer Conversational Speech 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.
Why Conversational Speech in Khmer is its own problem
Khmer has a layered register system. The words used for monks, for royalty, and for ordinary people are entirely different, and everyday conversation switches between them with the setting. Khmer script also writes no spaces between words, so the continuous string a transcript produces needs an additional word segmentation pass before it can be used.
The field to pin down first: Whether register is annotated at all, and which convention governs word boundaries. Both have to be written into the annotation guideline.
At a glance
| Language | Khmer |
|---|---|
| Primary region | Southeast Asia |
| Writing system | Khmer |
| Category | Conversational Speech |
| Specification field to settle first | Whether register is annotated at all, and which convention governs word boundaries. Both have to be written into the annotation guideline. |
| Delivery | Sourced to order, pilot batch before the full run |
What Conversational Speech data is
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.
What buyers get wrong about it
Natural conversation is full of overlapping speech, interruptions, particles, and laughter. Whether to keep these "messy" parts is the first thing to lock down on a project like this.
The specification field that decides the quote
Whether overlapping speech is kept or split. The two outputs cannot be mixed in a single delivery batch.
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.
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
| Component | What it is |
|---|---|
| The data files | Format, structure and segmentation set to your pipeline. Named to a convention you specify. |
| Labels or transcription | Orthographic, phonetic or categorical, produced under a guideline you review before production starts. |
| Contributor metadata | The attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on. |
| Collection conditions | Environment, device and, where it can be measured, signal quality: recorded per file. |
| Annotation guideline | The document the annotators worked from, so you can reproduce the conventions on your own data. |
| Consent records | Signed contributor consent covering your intended use, plus cross-border transfer terms where they apply. |
| Collection methodology | How contributors 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 Khmer Conversational Speech Dataset
How many distinct speakers can you provide for Khmer Conversational Speech 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. Whether register is annotated at all, and which convention governs word boundaries. Both have to be written into the annotation guideline.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Khmer has a layered register system. 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 Conversational Speech 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 Voice Assistant
Command and dialogue data for voice assistants, usually with intent annotation, covering the full chain from wake word to understanding to response.
-
Khmer Elderly Voice
Speech data from elderly speakers, usually stratified by age band and health status, used for voice products built for older users.
-
Khmer Accented English
English speech from non-native speakers or specific regional accents, grouped by accent origin, used to improve accent robustness in ASR.
-
Khmer Speech Translation
Parallel data pairing source-language audio with target-language translation, used for speech-to-text and speech-to-speech translation models.
-
Khmer In-the-Wild Speech
Speech collected under fully natural conditions (no studio, no topic constraints), as close to real usage as collection gets.
-
Khmer Call Center Speech
Customer-service calls, simulated rather than intercepted, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.
Request Khmer Conversational Speech 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.
- You send the spec Language, hours, recording conditions, and the deadline.
- We reply within two business days A real number and a real timeline, not a range.
- You approve a pilot batch A small run first, so problems surface before the full order.
- Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.