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• Heart Rate Detection and Classification from Speech Spectral Features Using Machine Learning

  Mohammed USMAN, Mohammed ZUBAIR, Zeeshan AHMAD, Monji ZAIDI, Thafasal IJYAS, Muneer PARAYANGAT, Mohd WAJID, Mohammad SHIBLEE, Syed Jaffar ALI

  2021-03-18

  41–53
• Marine Mammals Classification using Acoustic Binary Patterns

  Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

  2020-11-20

  721–731
• Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification

  Yixuan WANG, LiPing YUAN, Mohammad KHISHE, Alaveh MORIDI, Fallah MOHAMMADZADE

  2020-11-20

  753–764
• The Application of Selected Hierarchical Clustering Methods for Classification the Acoustic Emission Signals Generated by Partial Discharges

  Sebastian BORUCKI, Jacek ŁUCZAK, Marcin LORENC

  2021-08-24

  409–417
• Speech Emotion Recognition under White Noise

  Chengwei HUANG, Guoming CHEN, Hua YU, Yongqiang BAO, Li ZHAO

  2013-12-20

  457–463
• Analysis of Features and Classifiers in Emotion Recognition Systems: Case Study of Slavic Languages

  Željko NEDELJKOVIĆ, Milana MILOŠEVIĆ, Željko ĐUROVIĆ

  2020-02-12

  129–140
• Method for Vocal Fold Paralysis Detection Based on Perceptual and Acoustic Assessment

  Rafał HALAMA, Krzysztof SZKLANNY, Danijel KORŽINEK

  2024-12-12

  95-105
• Modeling and Predicting the Changes in Hearing Loss of Workers with the Use of a Neural Network Data Mining Algorithm: A Field Study

  Sajad ZARE, Mohammad Reza GHOTBIRAVANDI, Hossein ELAHISHIRVAN, Mostafa Ghazizadeh AHSAEED, Mina ROSTAMI, Reza ESMAEILI

  2020-04-29

  303–311
• Applying computational intelligence to musical acoustics

  Bożena KOSTEK

  617-629
• Classification of acoustic emission signals registered during the foam drainage process

  Z. RANACHOWSKI, P. RANACHOWSKI

  2014-01-01

  85-92
• Analysis on Acoustic Disturbance Signals Expected During Partial Discharge Measurements in Power Transformers

  Michał KUNICKI

  2020-11-20

  733–746