Small-Footprint Keyword Spotting with Graph Convolutional Network-Reference-Cited by-同舟云学术

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Small-Footprint Keyword Spotting with Graph Convolutional Network

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Chen Xi,Yin Shouyi,Song Dandan,Ouyang Peng,Liu Leibo,Wei Shaojun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8985378/9003727/09004005.pdf?arnumber=9004005

Cited by 20 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

1. Exploring TinyML Frameworks for Small-Footprint Keyword Spotting: A Concise Overview;2024 International Conference on Signal Processing and Communications (SPCOM);2024-07-01

2. Small-Footprint Automatic Speech Recognition System using Two-Stage Transfer Learning based Symmetrized Ternary Weight Network;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. RTKWS: Real-Time Keyword Spotting Based on Integer Arithmetic for Edge Deployment;2024 25th International Symposium on Quality Electronic Design (ISQED);2024-04-03

4. An Investigation Into the Advancements of Edge-AI Capabilities for Structural Health Monitoring;IEEE Access;2024

5. Robust and efficient keyword spotting using a bidirectional attention LSTM;International Journal of Speech Technology;2023-11-11

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