A 3.8-<italic>&#x03BC;</italic>W 10-Keyword Noise-Robust Keyword Spotting Processor Using Symmetric Compressed Ternary-Weight Neural Networks

A 3.8-<italic>&#x03BC;</italic>W 10-Keyword Noise-Robust Keyword Spotting Processor Using Symmetric Compressed Ternary-Weight Neural Networks

A ternary-weight neural network (TWN) inspired keyword spotting (KWS) processor is proposed to support complicated and variable application scenarios. To achieve high-precision recognition of ten keywords under 5 dB&#x007E;Clean wide range of background noises, a convolution neural network consi...

Full description

Bibliographic Details
Main Authors: Bo Liu, Na Xie, Renyuan Zhang, Haichuan Yang, Ziyu Wang, Deliang Fan, Zhen Wang, Weiqiang Liu, Hao Cai
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Solid-State Circuits Society
Subjects:
Approximate computing
error intercompensation
speech recognition
ternary-weight neural network (TWN)
Online Access:https://ieeexplore.ieee.org/document/10242041/

Internet

https://ieeexplore.ieee.org/document/10242041/

Similar Items