VoiVision AI
tech· VoiVision AI Team

Japanese/Korean: Standardized but Terminology & Keigo Pitfalls

Japanese and Korean speech is relatively standardized, yet technical terms, keigo (honorifics) and katakana loanwords trip generic SaaS ASR and Whisper in automotive/manufacturing. VoiVision retrains on thousands of hours of domain speech to push accuracy past 90%.


Japanese/Korean: standard speech, but terms & keigo are the trap

Japanese and Korean don't have the "dialects shattered" problem of LatAm or the Middle East — but terminology, honorifics and katakana loanwords still trip generic ASR in enterprise settings.

JA/KO lack the "dialects shattered" problem, yet hide a subtler trap: the moment honorifics and katakana loanwords enter one technical sentence, generic ASR falters.

Why generic solutions fail: our benchmark

We validated generic solutions on JA/KO automotive, manufacturing and electronics technical workshops and shop-floor meetings; the conclusion was consistent:

SolutionPerformance on this languageRoot cause
Generic SaaS ASRHigher word-error on term/honorific mixesTrained on general corpora; weak domain-term coverage
OpenAI WhisperErrors on loanwords/termsBase model limited robustness to domain terms
Microsoft open-source ASRErrors on honorific mixesNo dedicated domain-term modeling

The core conflict: generic models are okay on standard speech, but enterprise mixing of terms, honorifics and loanwords far exceeds their training distribution.

VoiVision's approach: domain-term & honorific adaptation

We do not fight accents; we put effort into the "professional layer" of enterprise language:

  1. Collect in-region speech: build JA/KO enterprise corpora of thousands of hours across automotive, manufacturing and electronics.
  2. Term-adaptive retraining: teach the decoder domain terms, honorifics and loanword mixing.
  3. Domain hotword injection: inject car models, part numbers, processes and component terms.
  4. Production landing: integrate with line and R&D systems; the term bank is customer-managed, JA/KO models stay on the enterprise intranet.

Measured result: JA/KO (terms/honorifics/loanwords) ≥ 90%

Measured on real JA/KO technical and shop-floor meetings, Japanese/Korean (with terms, honorifics, loanwords) recognition reaches 90%+.

Loanword-dense utterances (car models, part numbers, process names) — previously the most error-dense — improved markedly after term hotword injection.

Engineering & compliance: JA/KO data protection

Ships with our Speech Engine and VV05/VV10 on-prem servers, fully on-prem, <1s latency, no data egress — meeting JA/KO enterprise compliance.

Key compliance points:

  • JA/KO put high confidentiality on technical meetings; private deployment avoids leakage;
  • Term banks can be customer-managed, not fed into generic models;
  • Integrates with the enterprise existing infosec compliance.

Typical use cases

  • JA/KO automotive/manufacturing technical meetings
  • Shop-floor meeting & training transcripts
  • JA/KO call-center QA

Rollout recommendations

    • Benchmark real technical meetings first: give a term/honorific-mixed word-error baseline;
    • Inject term hotwords: customize car models, part numbers, process names;
    • Deploy on intranet last: integrate with line and R&D systems; data stays in the enterprise.

Need a JA/KO terminology benchmark? Book a Demo and our team will give you a concrete retraining plan and accuracy baseline.

FAQ

Q: What makes JA/KO hard?

A: Speech is standard, but terms, honorifics and katakana loanwords trip generic ASR.

Q: Why does Whisper underperform in JA/KO?

A: Whisper's base has limited robustness to domain terms/loanwords.

Q: How does VoiVision reach 90%+?

A: Thousands of hours of domain speech retraining + term adaptation + hotwords.

Q: Are honorifics/loanwords covered?

A: Yes, including keigo and katakana/loanword mixing, with per-industry customization.

#Japanese#Korean#term recognition#JA/KO

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