2023
Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications
Markus Müller, Anastasios Alexandridis, Zach Trozenski, Joel Whiteman, Grant P. Strimel, Nathan Susanj +2
ICASSP 2023accepted
Tiny Signal-to-Interpretation (TinyS2I) has been recently introduced as an ultra low-footprint end-to-end spoken language understanding (SLU) model. This architecture is capable of running in ultra resource constrained environments like voice assistant devices, while at the same time reducing latenc…