Resources

Khmer AI data guides

Practical notes from the work we do every day: how to plan Khmer speech, text and LLM data, what goes wrong, and what it costs.

How to build a Khmer speech recognition (ASR) dataset

A step-by-step guide to planning a Khmer ASR dataset: speaker mix, accents, scripts, recording set-ups, transcription rules, test sets and mistakes to avoid.

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Khmer word segmentation: why it matters for AI

Khmer is written without spaces between words. Learn why word segmentation matters for search, NLP, ASR and LLMs, where tools fail, and how to label good data.

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Khmer text-to-speech: what a good TTS dataset needs

What makes a Khmer text-to-speech dataset work: voice talent, studio recording, script coverage, text normalisation, pronunciation and alignment checks.

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Cost of Khmer transcription and data labelling in 2026

What Khmer transcription, speech collection, annotation, LLM data and subtitling cost in 2026, what drives the price, and how to budget a Khmer AI data project.

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Fine-tuning an LLM for Khmer: the data you need

What data you need to fine-tune a large language model for Khmer: clean corpora, instruction pairs, preference data, safety data and a Khmer evaluation set.

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Browse ready-made Khmer datasets →

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