A Reconfigurable Gaussian Base Normalization Deep Neural Network Design for an Energy-Efficient Voice Activity Detector-Reference-Cited by-同舟云学术

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A Reconfigurable Gaussian Base Normalization Deep Neural Network Design for an Energy-Efficient Voice Activity Detector

Published:2021-12-16 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Communication, Computing and Industry 4.0 (C2I4)
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Author:

Samanta Anu¹,Hatai Indranil²,Mal Ashis Kumar³

Affiliation:

1. NSHM Knowledge Campus, Durgapur,Electronics and Communication Engineering Department,Durgapur,India

2. Myanmar Institute of Information Technology,Electronics and Communication Engineering Department,Mandalaya,Myanmar

3. National Institute of Technology,Electronics and Communication Engineering Department,Durgapur,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9688564/9689221/09689307.pdf?arnumber=9689307

Reference26 articles.

1. 1b-16b variable bit precision dnn processor for emotional hri system in mobile devices;kim;Journal of Integrated Circuits and Systems,2020

2. Efficient Memory Organization for DNN Hardware Accelerator Implementation on PSoC

3. EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing

4. AUC Optimization for Deep Learning Based Voice Activity Detection

5. End-to-End Speech Emotion Recognition Using Deep Learning;jacob;International Journal of Research in Engineering Science and Management,2021

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