🎙 ASR Showdown: Clova Note vs. Daglo in Korean— Which One Really Listens?

# 🎙 ASR Showdown: Clova Note vs. Daglo in Korean— Which One Really Listens?

Capturing the real voice of the user is only half the battle. The other half is getting an automatic-speech-recognition (ASR) system that won’t leave you cleaning up a transcription disaster just when the analysis clock starts ticking. We put two of Korea’s most popular ASR tools head-to-head so you don’t have to.

ASR tools

🧪 Research Setup

| | | | --- | --- | | Item | Details | | Session type | In-person focus-group discussion (FGD) | | Participants | 8 FPS PC-game players + 1 moderator | | Recording length | ≈ 2 hours | | Source audio | Single track fed unchanged into both ASR tools |

🔍 Evaluation Criteria

1. Context integrity – Does the conversation flow naturally? 2. Sentence completeness – Are utterances grouped into full sentences? 3. Noise & typos – How many split fragments or obvious errors? 4. Analysis readiness – How easy is speaker or topic tagging?

📊 Numbers at a Glance

| | | | | --- | --- | --- | | Metric | Daglo | Clova Note | | Total lines | 1 ,050 | 623 | | Ultra-short lines (≤ 5 characters) | 381 | 0 | | Suspected incomplete sentences | 552 | 173 | | Text overlap with Clova (baseline) | – | 68.1 % |

Why it matters: Each extra fragment means one more manual merge or deletion before you can even start coding the data.

🧠 What the Numbers Mean

Daglo nails micro-level timestamps, but its aggressive splitting chops a continuous discussion into hundreds of tiny fragments. Analysts lose context and burn time re-stitching sentences. Clova Note keeps utterances bundled into coherent blocks. For long FGDs and 1-on-1 interviews, that translates into hours saved on clean-up and faster passage to thematic coding.

✅ Bottom Line

Clova Note is the safer bet when context and post-processing time matter.

Accuracy is only the first filter. In real-world UX research, a transcription tool must also preserve narrative structure and minimize analyst effort. On those two fronts, Clova pulls ahead.

🧪 Next Up on UXR Player

“Can Korean ASR pick up emotional nuance?”Stay tuned as we stress-test sentiment layers across multiple speech engines—and share every win, fail, and workaround.

#Koreantranscriptiontool #ASR #SpeechToText #Transcription #ClovaNote #Daglo