Výsledky vyhľadávania - "SPECTROGRAMS"

다양한 오디오 스펙트로그램을 이용한 다중 특성 학습 기반 이상 호흡음 탐지.

Alternate Title: Respiratory Anomaly Detection using Multi Feature Learning with Various Audio Spectrograms.

Autori: 변 규 린 양 희 규 추 현 승

Zdroj: Journal of Internet Computing & Services. Oct2025, Vol. 26 Issue 5, p75-81. 7p.

Predmety: SPECTROGRAMS, CONVOLUTIONAL neural networks, ENSEMBLE learning, SPECTRAL analysis (Phonetics), MEDICAL technology, RESPIRATORY organ sounds

A diffusion model for light scattering in ejecta.

Autori: Don Jayamanne, J. A. Burie, J.-R. Durand, O. a ďalší

Zdroj: Journal of Applied Physics; 11/28/2025, Vol. 138 Issue 20, p1-15, 15p

Predmety: LIGHT scattering, HEAT equation, RADIATIVE transfer equation, SPECTROGRAMS, VELOCIMETRY

Fine-tuning a narrowband SETI signal processing pipeline.

Autori: Houston, Kenneth M.¹ (AUTHOR) khouston@berkeley.edu

Zdroj: Acta Astronautica. Dec2025, Vol. 237, p127-140. 14p.

Predmety: *SIGNAL processing, *SPECTROGRAMS, *DOPPLER effect, *EXTRATERRESTRIAL beings

基于特征融合和流模型的无监督设备异常声音检测.

Alternate Title: Unsupervised Device Abnormal Sound Detection Based on Feature Fusion and Flow-Based Model.

Autori: 王亚威 张巧灵

Zdroj: Electronic Science & Technology. 2025, Vol. 38 Issue 11, p87-95. 9p.

Predmety: *OUTLIER detection, *SPECTROGRAMS, *MACHINE learning, *ELECTRONIC data processing, *STATISTICAL models

Listening to stars: audio-inspired multimodal learning for star classification.

Autori: Zhang, Shengwen Zhang, Yanxia Liu, Chao

Zdroj: Frontiers in Astronomy & Space Sciences. 2025, p1-12. 12p.

Predmety: *SPECTROGRAMS, *ASTRONOMY, *MACHINE learning, *AUDITORY perception, *CONVOLUTIONAL neural networks, *FEATURE extraction

COMPARATIVE ANALYSIS OF BRAIN ACTIVITY CLASSIFICATION USING CONVOLUTION NEURAL NETWORKS.

Autori: Hashmi, Adeel¹ adeel.hashmi@vips.edu

Zdroj: Journal of Computational Analysis & Applications. 2025, Vol. 34 Issue 7, p19-27. 9p.

Predmety: *CONVOLUTIONAL neural networks, *SPECTROGRAMS, *DEEP learning, *BRAIN waves

Visual Feature Domain Audio Coding for Anomaly Sound Detection Application.

Autori: Byun, Subin Seo, Jeongil

Zdroj: Algorithms. Oct2025, Vol. 18 Issue 10, p646. 16p.

Predmety: *SPECTROGRAMS, *DATA compression, *SIGNAL processing, *OUTLIER detection, *MACHINE learning

Isolated Word Classification of Hearing Impaired Speech Using Time–Frequency Representations.

Autori: Goutham, Y. A. Himasagar, T. S. Karjigi, Veena a ďalší

Zdroj: Circuits, Systems & Signal Processing. Oct2025, Vol. 44 Issue 10, p7915-7943. 29p.

Predmety: *DATA augmentation, *SPECTROGRAMS, *HARD of hearing people, *SPEECH perception, *TIME-frequency analysis, *SPEECH disorders

Mel-Spectrograms Based LSTM Model for Speech Emotion Recognition.

Autori: Bhuyan, Hemanta Kumar Brahma, Biswajit Kamila, Nilayam Kumar a ďalší

Zdroj: Traitement du Signal. Jun2025, Vol. 42 Issue 3, p1353-1365. 13p.

Predmety: EMOTION recognition, SPECTROGRAMS, DEEP learning, FEATURE extraction, SOUND waves, LONG short-term memory

Deep learning model using squeezenet and promoted ideal gas molecular motion for music genre classification from audio spectrograms.

Autori: Xue, Mengjin¹ (AUTHOR) xuemengjin2025@163.com

Zdroj: Scientific Reports. 9/1/2025, Vol. 15 Issue 1, p1-19. 19p.

Predmety: *DEEP learning, *SPECTROGRAMS, *POPULAR music genres, *METAHEURISTIC algorithms, *FEATURE extraction

Semi-supervised graph learning for underwater source localization using ship-of-opportunity spectrograms.

Autori: Castro-Correa, Jhon A. Badiey, Mohsen Giraldo, Jhony H. a ďalší

Zdroj: Journal of the Acoustical Society of America. Sep2025, Vol. 158 Issue 3, p1836-1848. 13p.

Predmety: *GRAPH neural networks, *SPECTROGRAMS, *SUPERVISED learning, *K-nearest neighbor classification, *ACOUSTIC localization, *SOUND waves, *CONVOLUTIONAL neural networks

DenseNet-Based Classification of EEG Abnormalities Using Spectrograms.

Autori: Wei, Lan Mooney, Catherine

Zdroj: Algorithms. Aug2025, Vol. 18 Issue 8, p486. 23p.

Predmety: *SPECTROGRAMS, *ELECTROENCEPHALOGRAPHY, *DEEP learning, *ARTIFICIAL neural networks, *NEUROLOGICAL disorders, *CLASSIFICATION

Cosine similarity-based few-shot bioacoustic event detection with automatic frequency range identification in Mel-spectrograms.

Autori: Kao, Sheng-Lun Liu, Yi-Wen

Zdroj: Journal of the Acoustical Society of America. Jul2025, Vol. 158 Issue 1, p123-134. 12p.

Predmety: *BIOACOUSTICS, *SPECTROGRAMS, *ACOUSTIC signal detection, *MACHINE learning, *FREQUENCY-domain analysis

Generating visual-adaptive audio representation for audio recognition.

Autori: Youn, Jongsu Jo, Dae Ung Seo, Seungmo a ďalší

Zdroj: Pattern Recognition Letters. Jun2025, Vol. 192, p65-71. 7p.

Predmety: *SPECTROGRAMS, *CLASSIFICATION, *VIDEOS

Consistency of two-voice vocalizations as a possible performance metric in a widespread songbird.

Alternate Title: Consistencia de las vocalizaciones de dos voces como una posible métrica de desempeño en un ave canora ampliamente distribuida.

Autori: Gu, Sarah D. Sathi, Neil E. Dingle, Caroline a ďalší

Zdroj: Wilson Journal of Ornithology. Jun2025, Vol. 137 Issue 2, p144-154. 11p.

Predmety: *ATHLETIC ability, *SPECTROGRAMS, *BANDWIDTHS, *SONGBIRDS, *BIRDSONGS, *SONGS

Onsite early prediction of peak amplitudes of ground motion using multi-scale STFT spectrogram.

Autori: Hsu, Ting-Yu Liu, Kuan-Lin

Zdroj: Earth, Planets & Space. 5/7/2025, Vol. 77 Issue 1, p1-21. 21p.

Predmety: *GROUND motion, *SPECTROGRAMS, *FORECASTING, *DEEP learning, *EARTHQUAKES, *SEISMIC waves, *CONVOLUTIONAL neural networks

MLAR-Net: A Multilevel Attention-Based ResNet Module for the Automated Recognition of Emotions Using Single-Channel EEG Signals

Autori: M. Maithri U. Raghavendra Anjan Gudigar a ďalší

Zdroj: IEEE Access, Vol 13, Pp 99122-99144 (2025)

Predmety: Attention-Based ResNet, Emotion Recognition, Explainable AI, Single-Channel EEG, Spectrograms, attention-based ResNet, spectrograms, Emotion recognition, Electrical engineering. Electronics. Nuclear engineering, single-channel EEG, explainable AI, TK1-9971

Popis súboru: application/pdf

Prístupová URL adresa: https://doaj.org/article/0bfc5f3f1d184eb7b1d76930512d95fa
https://ieeexplore.ieee.org/document/11021444
https://doi.org/10.1109/access.2025.3576059
https://hdl.handle.net/11583/3000912

Identification of Crack in the Helical Spring of the Vibratory Feeder Using Operational Modal Analysis.

Autori: Ghazwani, M. H. Chandravanshi, M. L.

Zdroj: Journal of Failure Analysis & Prevention. Feb2025, Vol. 25 Issue 1, p487-501. 15p.

Predmety: *HELICAL springs, *SPECTROGRAMS, *MODAL analysis

基于跨用户语音域适应网络的抑郁症检测.

Alternate Title: Depression Detection Based on Cross User Audio Domain Adaptation Network.

Autori: 吴伟 马龙华 赵祥红

Zdroj: Electronic Science & Technology. 2025, Vol. 38 Issue 1, p88-94. 7p.

Predmety: *SPECTROGRAMS, *MENTAL depression, *DIAGNOSIS, *HUMAN voice

Adaptation of a Convolutional Neural Network-based Pipeline to Detect Short GravitationalWave Bursts

Autori: Pracchia, Matteo

Zdroj: Bulletin de la Société Royale des Sciences de Liège, 93 (3), 374 - 378 (2024-12); 41st Liège International Astrophysical Colloquium, Liège, Belgium [BE], 15-19 July 2024

Predmety: data analysis, gravitational waves, machine learning, Background noise, Convolutional neural network, Core collapse supernovae, Gravitational wave interferometers, Gravitational-waves, Machine-learning, NET architecture, Network-based, Spectrograms, Wave transients, Multidisciplinary, Physical, chemical, mathematical & earth Sciences, Space science, astronomy & astrophysics, Physique, chimie, mathématiques & sciences de la terre, Aérospatiale, astronomie & astrophysique

Relation: urn:issn:0037-9565; urn:issn:1783-5720

Prístupová URL adresa: https://orbi.uliege.be/handle/2268/332435