Differentiability of voice disorders through explainable AI by Fatma Özcan

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Аўтаматызацыя аналізу галасавых сігналаў птушак by Y. S. Hetsevich, Ya. S. Zianouka, A. A. Bakunovich, D. A. Zhalava, T. G. Shagava

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Effective Strategies for Automatic Analysis of Acoustic Signals in Long-Term Monitoring by Dídac Diego-Tortosa, Danilo Bonanno, Manuel Bou-Cabo, Letizia S. Di Mauro, Abdelghani Idrissi, Guillermo Lara, Giorgio Riccobene, Simone Sanfilippo, Salvatore Viola

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DDA-MSLD: A Multi-Feature Speech Lie Detection Algorithm Based on a Dual-Stream Deep Architecture by Pengfei Guo, Shucheng Huang, Mingxing Li

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Voice-AttentionNet: Voice-Based Multi-Disease Detection with Lightweight Attention-Based Temporal Convolutional Neural Network by Jintao Wang, Jianhang Zhou, Bob Zhang

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Development of a Baby Cry Identification System Using a Raspberry Pi-Based Embedded System and Machine Learning by Mohcin Mekhfioui, Wiam Fadel, Fatima Ezzahra Hammouch, Oussama Laayati, Marouan Bouchouirbat, Nabil El Bazi, Amal Satif, Tarik Boujiha, Ahmed Chebak

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Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine by Lili Guo, Longbiao Wang, Jianwu Dang, Zhilei Liu, Haotian Guan

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Machine Learning-Based Image Pattern Recognition Using Histogram of Oriented Gradient for Islanding Detection by Kumaresh Pal, Kumari Namrata, Ashok Kumar Akella, Manoj Gupta, Pannee Suanpang, Aziz Nanthaamornphong

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Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition by Олеся Барковська, Антон Гаврашенко

Subjects: “…mel-cepstral characteristic coefficients, spectrogram, time mask, frequency mask, normalization, neural network, voice, audio series, speech…”
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Analysis of the influence of selected audio pre-processing stages on accuracy of speaker language recognition by Olesia Barkovska, Anton Havrashenko

Subjects: “…mel-cepstral characteristic coefficients, spectrogram, time mask, frequency mask, normalization, neural network, voice, audio series, speech…”
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Detection of Epilepsy Disorder Using Spectrogram Images Generated From Brain EEG Signals by Venkatesh Bhandage, Tejeswar Pokuri, Devansh Desai, Andrew Jeyabose

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Anomaly Detection in Industrial Machine Sounds Using High-Frequency Features and Gate Recurrent Unit Networks by Thi-Thu-Huong Le, Andro Aprila Adiputra, Jiwon Yun, Howon Kim

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Identification of temporal anomalies of spectrograms of vibration measurements of a turbine generator rotor using a recurrent neural network autoencoder by V. P. Kulagin, D. A. Akimov, S. A. Pavelyev, E. O. Guryanova

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Exploring the Impact of Image-Based Audio Representations in Classification Tasks Using Vision Transformers and Explainable AI Techniques by Sari Masri, Ahmad Hasasneh, Mohammad Tami, Chakib Tadj

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Classification of Dyslexia Among School Students Using Deep Learning by Alia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia Al-Ubaidi

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Enhancing dysarthria severity classification: efficient audio based deep learning models by Varsha J Varma, Aniruddha Jana, Arpan Kumar Samal, Aurobindo S, Rani Chinnappa Naidu, Somaya Al-Maadeed, Moutaz Saleh, Rajesh Kumar M, Prakash Ramachandran, Zachariah C Alex, Rajeev Khoodeeram

Subjects: “…Mel-spectrogram…”
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Hydraulic brake fault detection from acoustic signals using frequency domain filter bank integrated deep learning framework by Saumye Saran Das, Raushan Kumar, Manas Ranjan Prusty, Tapan K. Mahanta, Subhra Rani Patra

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Music Generation Using Deep Learning and Generative AI: A Systematic Review by Rohan Mitra, Imran Zualkernan

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Unraveling Information from Seismic Signals Generated by Gravitational Mass Movements by Emma Suriñach, Elsa Leticia Flores-Márquez

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Deep Learning-Enhanced Spectrogram Analysis for Anatomical Region Classification in Biomedical Signals by Abdul Karim, Semin Ryu, In cheol Jeong

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