TY  CONF
TI  REVIEW OF MODERN METHODS OF ENERGY-EFFICIENT MACHINE LEARNING FOR EMBEDDED ACOUSTIC SIGNAL PROCESSING SYSTEMS
KW  tiny machine learning
KW  embedded systems
KW  energy efficiency
KW  neural network quantization
KW  acoustic signal processing
KW  STM32U5
KW  TensorFlow Lite
KW  CMSIS-NN
JO  MODELING INFORMATION SYSTEMS AND TECHNOLOGIES – 2026
AU  Lemza, S.A.
AU  Butov, A.Y.
PY  2026
PB  FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov