A modular audio chatbot using a BERT intent router, expert audio models, and a 3.8B LLM over audio-event metadata matches 7B-8B audio-language models on MMAU sound and beats several of them on custom temporal QA.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding
A modular audio chatbot using a BERT intent router, expert audio models, and a 3.8B LLM over audio-event metadata matches 7B-8B audio-language models on MMAU sound and beats several of them on custom temporal QA.