DYNAMIC ADAPTATION OF LANGUAGE UNDERSTANDING SYSTEMS TO ACOUSTIC ENVIRONMENTS

Techniques are provided for dynamic adaptation of language understanding systems to acoustic environments. A methodology implementing the techniques according to an embodiment includes generating a trigger in response to recognition of a wake-on-voice key-phrase in or prior to an audio stream. The trigger serves to switch processing modes from an adaptation mode to a query recognition mode. The method further includes performing automatic speech recognition on the audio stream during the query recognition mode, to recognize an in-domain query. The method further includes applying both a static language understanding classifier and a dynamic language understanding classifier to the recognized in-domain query. The static language understanding classifier employs a static semantic model and the dynamic language understanding classifier employs a dynamic semantic model. The method further includes determining an intent associated with the recognized in-domain query based on results of the static language understanding classifier and the dynamic language understanding classifier.