On-Chip-Registration Supported ASR Processor Using Two-Step Transfer-Learning TWN
Author:
Affiliation:
1. National ASIC System Engineering Center, Southeast University, Nanjing, China
2. Nanjing Prochip Electronic Technology Company Ltd., Nanjing, China
Funder
National Key Research and Development Program of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/8920/10537170/10384832.pdf?arnumber=10384832
Reference20 articles.
1. A 22nm, 10.8 μ W/15.1 μ W Dual Computing Modes High Power-Performance-Area Efficiency Domained Background Noise Aware Keyword- Spotting Processor
2. Hybrid context dependent CD-DNN-HMM Keyword Spotting (KWS) in speech conversations
3. An Energy-Efficient Binarized Neural Network Using Analog-Intensive Feature Extraction for Keyword and Speaker Verification Wakeup
4. 14.1 A 510nW 0.41V Low-Memory Low-Computation Keyword-Spotting Chip Using Serial FFT-Based MFCC and Binarized Depthwise Separable Convolutional Neural Network in 28nm CMOS
5. A Fixed-Point Neural Network Architecture for Speech Applications on Resource Constrained Hardware
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