TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices

10 August 2020

Papers citing "TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices"

8 / 8 papers shown

Title
Systematic Architectural Design of Scale Transformed Attention Condenser DNNs via Multi-Scale Class Representational Response Similarity Analysis Andrew Hryniowski Alexander Wong 23 0 0 16 Jun 2023
High-Throughput, High-Performance Deep Learning-Driven Light Guide Plate Surface Visual Quality Inspection Tailored for Real-World Manufacturing Environments Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 26 2 0 20 Dec 2022
Taxonomic Classification of IoT Smart Home Voice Control M. Hewitt H. Cunningham 24 1 0 24 Oct 2022
Heterogeneous Recurrent Spiking Neural Network for Spatio-Temporal Classification Biswadeep Chakraborty Saibal Mukhopadhyay 34 20 0 22 Sep 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection Carol Xu M. Famouri Gautam Bathla M. Shafiee Alexander Wong 33 1 0 25 Apr 2022
AttendSeg: A Tiny Attention Condenser Neural Network for Semantic Segmentation on the Edge Xiaoyue Wen M. Famouri Andrew Hryniowski Alexander Wong SSeg 13 7 0 29 Apr 2021
Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks Bojian Yin Federico Corradi S. Bohté 50 209 0 12 Mar 2021