Hardware/Software Co-Design for TinyML Voice-Recognition Application on Resource Frugal Edge Devices
On-device artificial intelligence has attracted attention globally, and attempts to combine the internet of things and TinyML (machine learning) applications are increasing. Although most edge devices have limited resources, time and energy costs are important when running TinyML applications. In th...
Saved in:
Main Authors: | Jisu Kwon, Daejin Park |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/937ae8a4f6e948c0a545db9d1d08abf5 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Interference Signal Identification of Sensor Array Based on Convolutional Neural Network and FPGA Implementation
by: Lin Huang, et al.
Published: (2021) -
FPGA Implementation of IEC-61131-3-Based Hardware Aided Counters for PLC
by: Miroslaw Chmiel, et al.
Published: (2021) -
Microbiologically-influenced corrosion of the electroless-deposited NiP-TiNi – Coating
by: Eman M. Fayyad, et al.
Published: (2021) -
Gate Oxide and Implantation Process Co-Optimization for Low-Power MCU Applications
by: Zijian Zhao, et al.
Published: (2021) -
LDPC Hardware Acceleration in 5G Open Radio Access Network Platforms
by: Elissaios Alexios Papatheofanous, et al.
Published: (2021)