Leveraging Sparsity with Spiking Recurrent Neural Networks for Energy-Efficient Keyword Spotting.
Manon DampfhofferThomas MesquidaEmmanuel HardyAlexandre ValentianLorena AnghelPublished in: ICASSP (2023)
Keyphrases
- energy efficient
- recurrent neural networks
- keyword spotting
- feed forward
- hebbian learning
- wireless sensor networks
- speech recognition
- hidden markov models
- energy consumption
- sensor networks
- neural network
- artificial neural networks
- recurrent networks
- neural models
- back propagation
- speech processing
- neural model
- spiking neural networks
- base station
- energy efficiency
- echo state networks
- data transmission
- printed documents
- handwritten documents
- routing protocol
- mobile devices
- routing algorithm
- language model
- sensor data
- real time