A 141 UW, 2.46 PJ/Neuron Binarized Convolutional Neural Network Based Self-Learning Speech Recognition Processor in 28NM CMOS-Reference-Cited by-同舟云学术

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A 141 UW, 2.46 PJ/Neuron Binarized Convolutional Neural Network Based Self-Learning Speech Recognition Processor in 28NM CMOS

Published:2018-06 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE Symposium on VLSI Circuits
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Author:

Yin Shouyi,Ouyang Peng,Zheng Shixuan,Song Dandan,Li Xiudong,Liu Leibo,Wei Shaojun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8484863/8502213/08502309.pdf?arnumber=8502309

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. A 0.05-mm² 2.91-nJ/Decision Keyword-Spotting (KWS) Chip Featuring an Always-Retention 5T-SRAM in 28-nm CMOS;IEEE Journal of Solid-State Circuits;2024-02

3. A 1.8% FAR, 2 ms Decision Latency, 1.73 nJ/Decision Keywords-Spotting (KWS) Chip Incorporating Transfer-Computing Speaker Verification, Hybrid-IF-Domain Computing and Scalable 5T-SRAM;IEEE Journal of Solid-State Circuits;2024

4. AIMMI: Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte On-Chip MRAM for IoT Devices;IEEE Journal of Solid-State Circuits;2024

5. microASR: 32-μW Real-Time Automatic Speech Recognition Chip featuring a Bio-Inspired Neuron Model and Digital SRAM-based Compute-In-Memory Hardware;ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC);2023-09-11

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