Thai has no spaces: how speech recognition handles word segmentation and evaluation
Thai has no spaces between words, so WER shifts with the tokenizer. Why we use character error rate as the main metric, and how we normalize text first.
BLOG
Speech technology blog
Engineering notes, tutorials and evaluation methods for speech recognition, synthesis and dubbing.
7 articles
Turning a Thai meeting into actionable minutes
From recording and speaker separation to the summary and action items: how a 40-minute Thai meeting becomes a set of minutes.
Thai, English and Chinese in one sentence: why code-switching is hard to recognize
Where models go wrong when Thai speech contains English brand names and Chinese personal names, and how to score the results.
Streaming recognition and offline refinement: balancing latency and accuracy
Streaming recognition shows text as you speak; an offline model refines each sentence once it ends. How the two results merge and how the interface transitions.
Measuring first-token latency: how we define and test it
From the first audio frame in to the first character out: where the clock starts, how network and hardware are fixed, and what P50 and P90 each tell you.
Voice cloning from an 8-second sample: recording tips
A quiet room, steady volume, and a natural pace—the quality of your 8-second sample sets the ceiling for the cloned voice.
Dubbing short videos into Thai: from subtitles to voice cloning
Transcription, translation, voice cloning, and duration alignment: the end-to-end workflow for localizing a short e-commerce video from Chinese into Thai.
Subscribe to updates
New articles, model releases, and benchmark results—once a month. Unsubscribe anytime.