Self-Adaptive Soft Voice Activity Detection Using Deep Neural Networks for Robust Speaker Verification-Reference-Cited by-同舟云学术

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Self-Adaptive Soft Voice Activity Detection Using Deep Neural Networks for Robust Speaker Verification

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

Jung Youngmoon,Choi Yeunju,Kim Hoirin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8985378/9003727/09003935.pdf?arnumber=9003935

Cited by 11 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. Review of Methods for Automatic Speaker Verification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023

2. Robust voice activity detection based on weighted average of long-term quadratic Renyi and differential entropies;Digital Signal Processing;2022-11

3. Frequency-Centroid Features for Word Recognition of Non-Native English Speakers;2022 33rd Irish Signals and Systems Conference (ISSC);2022-06-09

4. SpeechNAS: Towards Better Trade-Off Between Latency and Accuracy for Large-Scale Speaker Verification;2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2021-12-13

5. Improving user verification in human-robot interaction from audio or image inputs through sample quality assessment;Pattern Recognition Letters;2021-09

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