An Unsupervised Segmentation of Vocal Breath Sounds-Reference-Cited by-同舟云学术

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An Unsupervised Segmentation of Vocal Breath Sounds

Published:2024-04-14 Issue: Volume:328 Page:9891-9895
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Yadav Shivani¹,Gope Dipanjan²,Uma Maheswari K.³,Ghosh Prasanta Kumar⁴

Affiliation:

1. Indian Institute of Science (IISc),BioSystems Science and Engineering,Bangalore,India,560012

2. Indian Institute of Science (IISc),Electrical Communication Engineering,Bangalore,India,560012

3. St. Johns National Academy of Health Sciences,Pulmonary Medicine,Bangalore,India,560034

4. Indian Institute of Science (IISc),Electrical Engineering,Bangalore,India,560012

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10447657.pdf?arnumber=10447657

Reference12 articles.

1. Behavioral Interventions in Asthma

2. Comparison of Cough, Wheeze and Sustained Phonations for Automatic Classification Between Healthy Subjects and Asthmatic Patients

3. Role of breath phase and breath boundaries for the classification between asthmatic and healthy subjects

4. Adaptive neuro-fuzzy inference system for breath phase detection and breath cycle segmentation

5. Automatic detection of the respiratory cycle from recorded, single-channel sounds from lungs

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