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Acoustic Temperature Tomography using a UNet based Deep Learning Approach., , , , , и . EUSIPCO, стр. 1561-1565. IEEE, (2022)On the reduction of false positives in singing voice detection., , и . ICASSP, стр. 7480-7484. IEEE, (2014)Zero-Mean Convolutions for Level-Invariant Singing Voice Detection., и . ISMIR, стр. 321-326. (2018)I-Vectors for Timbre-Based Music Similarity and Music Artist Classification., , , и . ISMIR, стр. 554-560. (2015)Derivation of watershed boundaries for GRDC gauging stations based on the HydroSHEDS drainage network. 41. Global Runoff Data Centre, Koblenz, (2012)A low-latency, real-time-capable singing voice detection method with LSTM recurrent neural networks., , и . EUSIPCO, стр. 21-25. IEEE, (2015)A Hybrid Approach with Multi-channel I-Vectors and Convolutional Neural Networks for Acoustic Scene Classification., , , и . CoRR, (2017)Monaural Blind Source Separation in the Context of Vocal Detection., и . ISMIR, стр. 309-315. (2015)Sandwich Face Layer Debonding Detection and Size Estimation by Machine-Learning-Based Evaluation of Electromechanical Impedance Measurements., , , и . Sensors, 23 (6): 2910 (марта 2023)An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music., , , , , , , , , и 2 other автор(ы). IEEE Signal Process. Mag., 36 (1): 82-94 (2019)