Model Adaptation · Model asset

Domain ASR Language Model

Model assetModel AdaptationModelsarc:DomainASRLanguageModel

An n-gram or neural language model trained on domain text whose word co-occurrence priors guide the speech decoder toward domain terminology.

Responsibility. Supplies domain-specific linguistic priors to speech decoding.

Also known as: Custom ASR language model

Direct neighbourhood (hover for relationship types)

Relationships

deployed on structural

Automatic Speech Recognizer abstract Ch7.5

is trained by lifecycle

ASR Language Model Trainer Ch7.5

Design guidance

SHOULD be trained when comprehensive domain adaptation is needed beyond word boosting.

Quantitative guidance

As stated by the sources; verify before use.

1-2 days to train; reduces domain-terminology errors 30-50% and overall WER 5-10% (Ch7.5).

Classification

Patterns: Language model fusion in beam search
Technologies: NVIDIA Riva ASR
Quality attributes: Functional suitability: correctness and validity (ISO/IEC 25010 | NIST AI RMF: valid)
Risks mitigated: Misrecognized technical terms where errors are most harmful (e.g., diagnoses)

Sources

Ch7.5: T. Nguyen, "NeMo Curator, Riva Speech AI & Multimodal Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 7.5. ISBN: 9798244538229.