Medical Difficult Airway Detection using Speech Technology-Reference-Cited by-同舟云学术

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Medical Difficult Airway Detection using Speech Technology

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 13th International Symposium on Chinese Spoken Language Processing (ISCSLP)
language:
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Author:

Zhou Zhikai¹,Cao Shuang²,Chen Zhengyang¹,Liu Bei¹,Xia Ming²,Jiang Hong²,Qian Yanmin¹

Affiliation:

1. AI Institute X-LANCE Lab, Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,Department of Computer Science and Engineering,Shanghai,China

2. Shanghai Jiaotong University School of Medicine,Shanghai Ninth People’s Hospital,Department of Anesthesiology,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10037756/10037573/10037911.pdf?arnumber=10037911

Reference26 articles.

1. Acoustic features as novel predictors of difficult laryngoscopy in orthognathic surgery: an observational study

2. ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification

3. X-Vectors: Robust DNN Embeddings for Speaker Recognition

4. Severity evaluation of obstructive sleep apnea based on speech features;ding;Sleep and Breathing,2020

5. Audio-Visual Deep Neural Network for Robust Person Verification

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