Language model (in ASR)
In speech recognition, a language model supplies knowledge of which word sequences are likely, letting the system prefer 'recognize speech' over 'wreck a nice beach' when the audio alone is ambiguous.
Classical systems used explicit n-gram language models; end-to-end systems learn the same knowledge implicitly. Domain-specific boosts (medical terms, product names) are the modern descendant — telling the recognizer which unusual words to expect.
Related terms
Frequently asked
What is Language model?
In speech recognition, a language model supplies knowledge of which word sequences are likely, letting the system prefer 'recognize speech' over 'wreck a nice beach' when the audio alone is ambiguous.
Why does Language model matter?
Classical systems used explicit n-gram language models; end-to-end systems learn the same knowledge implicitly. Domain-specific boosts (medical terms, product names) are the modern descendant — telling the recognizer which unusual words to expect.
What terms are related to Language model?
Closely related concepts: Acoustic model, Beam search, End-to-end speech recognition — each has its own entry in this glossary.
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