المؤلفون: Silvestre Carvalho, Elsa Ferreira Gomes

المصدر: Vietnam Journal of Computer Science, Vol 10, Iss 01, Pp 39-54 (2023)

مصطلحات موضوعية: Bird species classification, deep learning, audio feature extraction, Information technology, T58.5-58.64, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2196-8888Test; https://doaj.org/toc/2196-8896Test

الوصول الحر: https://doaj.org/article/1e05fc045c0c40e29afc1e4843a7d09eTest

المؤلفون: Friebe Michael, Boese Axel, Heryan Katarzyna, Spiller Moritz, Sühn Thomas, Esmaeili Nazila, Illanes Alfredo

المصدر: Current Directions in Biomedical Engineering, Vol 8, Iss 1, Pp 1-4 (2022)

مصطلحات موضوعية: audio sensing, proximal sensor, audio feature extraction, signal processing, device guidance, Medicine

وصف الملف: electronic resource

العلاقة: https://doaj.org/toc/2364-5504Test

الوصول الحر: https://doaj.org/article/d6a1038c74344426969f807c5584e1f4Test

المؤلفون: Amel Ksibi, Nada Ali Hakami, Nazik Alturki, Mashael M. Asiri, Mohammed Zakariah, Manel Ayadi

المصدر: Sustainability; Volume 15; Issue 4; Pages: 3204

مصطلحات موضوعية: recurrent neural networks (RNNs), deep learning, audio feature extraction, Mel-frequency cepstral coefficients

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: https://dx.doi.org/10.3390/su15043204Test

الإتاحة: https://doi.org/10.3390/su15043204Test

المؤلفون: Sera Kim, Seok-Pil Lee

المصدر: Electronics, Vol 12, Iss 4034, p 4034 (2023)

مصطلحات موضوعية: emotion recognition from speech, transformer, attention mechanism, bidirectional LSTM, convolutional neural network, audio feature extraction, Electronics, TK7800-8360

العلاقة: https://www.mdpi.com/2079-9292/12/19/4034Test; https://doaj.org/toc/2079-9292Test; https://doaj.org/article/9bb5e7c28b9a42a79783a7e59aee6b22Test

الإتاحة: https://doi.org/10.3390/electronics12194034Test
https://doaj.org/article/9bb5e7c28b9a42a79783a7e59aee6b22Test

المؤلفون: Carvalho, Silvestre Daniel Dias

المساهمون: Gomes, Elsa Maria de Carvalho Ferreira, Repositório Científico do Instituto Politécnico do Porto

مصطلحات موضوعية: Bird Audio Classification, Deep Learning, Audio Feature Extraction

وصف الملف: application/pdf

الإتاحة: http://hdl.handle.net/10400.22/16439Test

المؤلفون: Várkonyi, Dániel Tamás, Seixas Junior, José Luis, Horváth, Tomáš

مصطلحات موضوعية: Audio data analysis, Spectrogram, Noise filtering, Audio feature extraction, Apiculture

العلاقة: http://researchrepository.napier.ac.uk/Output/3577453Test; https://napier-repository.worktribe.com/file/3577453/1/Dynamic%20noise%20filtering%20for%20multi-class%20classification%20of%20beehive%20audio%20dataTest

الإتاحة: https://doi.org/10.1016/j.eswa.2022.118850Test
https://napier-repository.worktribe.com/file/3577453/1/Dynamic%20noise%20filtering%20for%20multi-class%20classification%20of%20beehive%20audio%20dataTest
http://researchrepository.napier.ac.uk/Output/3577453Test

المؤلفون: Nanda V. Ranade, Varaha Sarvothaman, Vivek Ranade

مصطلحات موضوعية: Chemical sciences, hydrodynamic cavitation, acoustic signals, spectrogram, audio feature extraction

العلاقة: https://figshare.com/articles/journal_contribution/Acoustic_analysis_of_vortex-based_cavitation_devices_inception_and_extent_of_cavitation/26190551Test

الإتاحة: https://doi.org/10.34961/researchrepository-ul.26190551.v1Test
https://figshare.com/articles/journal_contribution/Acoustic_analysis_of_vortex-based_cavitation_devices_inception_and_extent_of_cavitation/26190551Test

المؤلفون: Lancelot Lhoest, Mimoun Lamrini, Jurgen Vandendriessche, Nick Wouters, Bruno da Silva, Mohamed Yassin Chkouri, Abdellah Touhafi

المصدر: Applied Sciences; Volume 11; Issue 18; Pages: 8394

مصطلحات موضوعية: machine learning, environment sound recognition, Convolutional Neural Network, embedded system, audio feature extraction, multi-class classification, one-vs-all

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Computing and Artificial Intelligence; https://dx.doi.org/10.3390/app11188394Test

الإتاحة: https://doi.org/10.3390/app11188394Test

المؤلفون: Rathi, Bhawna, Hsu, Timothy Y.

المساهمون: Music and Arts Technology, School of Engineering and Technology

المصدر: Publisher

مصطلحات موضوعية: Diction, Signal processing, Vocal technologies, Audio feature extraction

وصف الملف: application/pdf

العلاقة: International Journal of Music Science, Technology and Art; Rathi, B., & Hsu, T. (2021). A Pilot Study for Algorithmic Diction Detection for Use by Singers and Vocal Teachers. International Journal of Music Science, Technology and Art, 3(1), 24–32. https://doi.org/10.48293/ijmsta-73Test; https://hdl.handle.net/1805/30039Test

الإتاحة: https://hdl.handle.net/1805/30039Test

المؤلفون: Bruno da Silva, Axel W. Happi, An Braeken, Abdellah Touhafi

المصدر: Applied Sciences; Volume 9; Issue 18; Pages: 3885

مصطلحات موضوعية: urban sound classification, machine learning, embedded system, environment sound recognition, audio feature extraction, edge computing

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Acoustics and Vibrations; https://dx.doi.org/10.3390/app9183885Test

الإتاحة: https://doi.org/10.3390/app9183885Test