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Resource-efficient DNNs for Keyword Spotting using Neural Architecture
  Search and Quantization

Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization

International Conference on Pattern Recognition (ICPR), 2020
18 December 2020
David Peter
Wolfgang Roth
Franz Pernkopf
ArXiv (abs)PDFHTMLGithub (4★)

Papers citing "Resource-efficient DNNs for Keyword Spotting using Neural Architecture Search and Quantization"

3 / 3 papers shown
Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
Quantization-Based Score Calibration for Few-Shot Keyword Spotting with Dynamic Time Warping in Noisy Environments
Kevin Wilkinghoff
Alessia Cornaggia-Urrigshardt
Zheng-Hua Tan
177
0
0
17 Oct 2025
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
379
7
0
22 Aug 2022
End-to-end Keyword Spotting using Neural Architecture Search and
  Quantization
End-to-end Keyword Spotting using Neural Architecture Search and QuantizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
David Peter
Wolfgang Roth
Franz Pernkopf
MQ
174
20
0
14 Apr 2021
1
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