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Training one model to detect heart and lung sound events from single
  point auscultations

Training one model to detect heart and lung sound events from single point auscultations

15 January 2023
Leander Melms
Robert R. Ilesan
Ulrich Köhler
O. Hildebrandt
R. Conradt
J. Eckstein
Cihan Atila
Sami Matrood
B. Schieffer
Jürgen R. Schaefer
Tobias Müller
J. Obergassel
Nadine Schlicker
M. Hirsch
ArXivPDFHTML

Papers citing "Training one model to detect heart and lung sound events from single point auscultations"

4 / 4 papers shown
Title
Masked Modeling Duo: Towards a Universal Audio Pre-training Framework
Masked Modeling Duo: Towards a Universal Audio Pre-training Framework
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
Noboru Harada
K. Kashino
29
10
0
09 Apr 2024
Masked Modeling Duo for Speech: Specializing General-Purpose Audio
  Representation to Speech using Denoising Distillation
Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation
Daisuke Niizumi
Daiki Takeuchi
Yasunori Ohishi
Noboru Harada
K. Kashino
37
3
0
23 May 2023
Benchmarking of eight recurrent neural network variants for breath phase
  and adventitious sound detection on a self-developed open-access lung sound
  database-HF_Lung_V1
Benchmarking of eight recurrent neural network variants for breath phase and adventitious sound detection on a self-developed open-access lung sound database-HF_Lung_V1
Fu-Shun Hsu
Shang-Ran Huang
Chien-Wen Huang
Chao-Jung Huang
Yuan-Ren Cheng
...
Yi-Lin Wu
Tzu-Ling Tzeng
Ching-Ting Tseng
Yi-Tsun Chen
F. Lai
35
53
0
05 Feb 2021
Deep Learning Framework Applied for Predicting Anomaly of Respiratory
  Sounds
Deep Learning Framework Applied for Predicting Anomaly of Respiratory Sounds
Dat Ngo
L. D. Pham
A. Nguyen
Ben Phan
Khoa Tran
Truong Thao Nguyen
12
22
0
26 Dec 2020
1