Journal articles on the topic 'Spectrogram'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Spectrogram.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
Lee, Sang-Hoon, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, and Seong-Whan Lee. "Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 14 (May 18, 2021): 13198–206. http://dx.doi.org/10.1609/aaai.v35i14.17559.
Full textJohnson, Alexander. "An integrated approach for teaching speech spectrogram analysis to engineering students." Journal of the Acoustical Society of America 152, no. 3 (September 2022): 1962–69. http://dx.doi.org/10.1121/10.0014172.
Full textBasak, Gopal K., and Tridibesh Dutta. "Statistical Speaker Identification Based on Spectrogram Imaging." Calcutta Statistical Association Bulletin 59, no. 3-4 (September 2007): 253–63. http://dx.doi.org/10.1177/0008068320070309.
Full textHan, Ying, Qiao Wang, Jianping Huang, Jing Yuan, Zhong Li, Yali Wang, Haijun Liu, and Xuhui Shen. "Frequency Extraction of Global Constant Frequency Electromagnetic Disturbances from Electric Field VLF Data on CSES." Remote Sensing 15, no. 8 (April 13, 2023): 2057. http://dx.doi.org/10.3390/rs15082057.
Full textShingchern D. You, Kai-Rong Lin, and Chien-Hung Liu. "Estimating Classification Accuracy for Unlabeled Datasets Based on Block Scaling." International Journal of Engineering and Technology Innovation 13, no. 4 (September 28, 2023): 313–27. http://dx.doi.org/10.46604/ijeti.2023.11975.
Full textLi, Hong Ping, and Hong Li. "Establish an Artificial Neural Networks Model to Make Quantitative Analysis about the Capillary Electrophoresis Spectrum." Advanced Materials Research 452-453 (January 2012): 1116–20. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.1116.
Full textLi, Juan, Xueying Zhang, Lixia Huang, Fenglian Li, Shufei Duan, and Ying Sun. "Speech Emotion Recognition Using a Dual-Channel Complementary Spectrogram and the CNN-SSAE Neutral Network." Applied Sciences 12, no. 19 (September 22, 2022): 9518. http://dx.doi.org/10.3390/app12199518.
Full textPethiyagoda, Ravindra, Scott W. McCue, and Timothy J. Moroney. "Spectrograms of ship wakes: identifying linear and nonlinear wave signals." Journal of Fluid Mechanics 811 (December 6, 2016): 189–209. http://dx.doi.org/10.1017/jfm.2016.753.
Full textGodbole, Shubham, Vaishnavi Jadhav, and Gajanan Birajdar. "Indian Language Identification using Deep Learning." ITM Web of Conferences 32 (2020): 01010. http://dx.doi.org/10.1051/itmconf/20203201010.
Full textSamad, Salina Abdul, and Aqilah Baseri Huddin. "Improving spectrogram correlation filters with time-frequency reassignment for bio-acoustic signal classification." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (April 1, 2019): 59. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp59-64.
Full textFranzoni, Valentina. "Cross-domain synergy: Leveraging image processing techniques for enhanced sound classification through spectrogram analysis using CNNs." Journal of Autonomous Intelligence 6, no. 3 (August 28, 2023): 678. http://dx.doi.org/10.32629/jai.v6i3.678.
Full textAlia Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, and Dalia Al-Ubaidi. "Classification of Dyslexia Among School Students Using Deep Learning." Journal of Techniques 6, no. 1 (March 31, 2024): 85–92. http://dx.doi.org/10.51173/jt.v6i1.1893.
Full textJenkins, William F., Peter Gerstoft, Chih-Chieh Chien, and Emma Ozanich. "Reducing dimensionality of spectrograms using convolutional autoencoders." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A178. http://dx.doi.org/10.1121/10.0018582.
Full textHajihashemi, Vahid, Abdorreza Alavi Gharahbagh, Narges Hajaboutalebi, Mohsen Zahraei, José J. M. Machado, and João Manuel R. S. Tavares. "A Feature-Reduction Scheme Based on a Two-Sample t-Test to Eliminate Useless Spectrogram Frequency Bands in Acoustic Event Detection Systems." Electronics 13, no. 11 (May 25, 2024): 2064. http://dx.doi.org/10.3390/electronics13112064.
Full textChoi, Byung-Moon, Ji Yeon Yim, Hangsik Shin, and Gyujeong Noh. "Novel Analgesic Index for Postoperative Pain Assessment Based on a Photoplethysmographic Spectrogram and Convolutional Neural Network: Observational Study." Journal of Medical Internet Research 23, no. 2 (February 3, 2021): e23920. http://dx.doi.org/10.2196/23920.
Full textFerreira, Diogo R., Tiago A. Martins, and Paulo Rodrigues. "Explainable deep learning for the analysis of MHD spectrograms in nuclear fusion." Machine Learning: Science and Technology 3, no. 1 (December 30, 2021): 015015. http://dx.doi.org/10.1088/2632-2153/ac44aa.
Full textHe, Yuan, Xinyu Li, Runlong Li, Jianping Wang, and Xiaojun Jing. "A Deep-Learning Method for Radar Micro-Doppler Spectrogram Restoration." Sensors 20, no. 17 (September 3, 2020): 5007. http://dx.doi.org/10.3390/s20175007.
Full textFudholi, Dzikri Rahadian, Muhammad Auzan, and Novia Arum Sari. "Spectrogram Window Comparison: Cough Sound Recognition using Convolutional Neural Network." IJCCS (Indonesian Journal of Computing and Cybernetics Systems) 16, no. 3 (July 31, 2022): 261. http://dx.doi.org/10.22146/ijccs.75697.
Full textLiu, Haohe, Xubo Liu, Qiuqiang Kong, Wenwu Wang, and Mark D. Plumbley. "Learning Temporal Resolution in Spectrogram for Audio Classification." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 12 (March 24, 2024): 13873–81. http://dx.doi.org/10.1609/aaai.v38i12.29294.
Full textLalla, Abderraouf, Andrea Albini, Paolo Di Barba, and Maria Evelina Mognaschi. "Spectrogram Inversion for Reconstruction of Electric Currents at Industrial Frequencies: A Deep Learning Approach." Sensors 24, no. 6 (March 11, 2024): 1798. http://dx.doi.org/10.3390/s24061798.
Full textHorn, Skyler, and Hynek Boril. "Gender classification from speech using convolutional networks augmented with synthetic spectrograms." Journal of the Acoustical Society of America 150, no. 4 (October 2021): A358. http://dx.doi.org/10.1121/10.0008585.
Full textOh, Myeonggeun, and Yong-Hoon Kim. "Statistical Approach to Spectrogram Analysis for Radio-Frequency Interference Detection and Mitigation in an L-Band Microwave Radiometer." Sensors 19, no. 2 (January 14, 2019): 306. http://dx.doi.org/10.3390/s19020306.
Full textEnder Ozturk, Fatih Erden, and Ismail Guvenc. "RF-based low-SNR classification of UAVs using convolutional neural networks." ITU Journal on Future and Evolving Technologies 2, no. 5 (July 23, 2021): 39–52. http://dx.doi.org/10.52953/qjgh3217.
Full textHuh, Jiung, Huan Pham Van, Soonyoung Han, Hae-Jin Choi, and Seung-Kyum Choi. "A Data-Driven Approach for the Diagnosis of Mechanical Systems Using Trained Subtracted Signal Spectrograms." Sensors 19, no. 5 (March 1, 2019): 1055. http://dx.doi.org/10.3390/s19051055.
Full textRawat, Priyanshu, Madhvan Bajaj, Satvik Vats, and Vikrant Sharma. "A comprehensive study based on MFCC and spectrogram for audio classification." Journal of Information and Optimization Sciences 44, no. 6 (2023): 1057–74. http://dx.doi.org/10.47974/jios-1431.
Full textJiang, Hao, Jianqing Jiang, and Guoshao Su. "Rock Crack Types Identification by Machine Learning on the Sound Signal." Applied Sciences 13, no. 13 (June 28, 2023): 7654. http://dx.doi.org/10.3390/app13137654.
Full textLéonard, François. "Phase spectrogram and frequency spectrogram as new diagnostic tools." Mechanical Systems and Signal Processing 21, no. 1 (January 2007): 125–37. http://dx.doi.org/10.1016/j.ymssp.2005.08.011.
Full textTrufanov, N. N., D. V. Churikov, and O. V. Kravchenko. "Selection of window functions for predicting the frequency pattern of vibrations of the technological process using an artificial neural network." Journal of Physics: Conference Series 2091, no. 1 (November 1, 2021): 012074. http://dx.doi.org/10.1088/1742-6596/2091/1/012074.
Full textDwijayanti, Suci, Alvio Yunita Putri, and Bhakti Yudho Suprapto. "Speaker Identification Using a Convolutional Neural Network." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 1 (February 27, 2022): 140–45. http://dx.doi.org/10.29207/resti.v6i1.3795.
Full textCameron, J., A. Crosby, C. Paszkowski, and E. Bayne. "Visual spectrogram scanning paired with an observation–confirmation occupancy model improves the efficiency and accuracy of bioacoustic anuran data." Canadian Journal of Zoology 98, no. 11 (November 2020): 733–42. http://dx.doi.org/10.1139/cjz-2020-0103.
Full textZhu, Yuefan, and Xiaoying Liu. "A Lightweight CNN for Wind Turbine Blade Defect Detection Based on Spectrograms." Machines 11, no. 1 (January 11, 2023): 99. http://dx.doi.org/10.3390/machines11010099.
Full textLiao, Ying. "Analysis of Rehabilitation Occupational Therapy Techniques Based on Instrumental Music Chinese Tonal Language Spectrogram Analysis." Occupational Therapy International 2022 (October 3, 2022): 1–12. http://dx.doi.org/10.1155/2022/1064441.
Full textLopes, Marilia, Raymundo Cassani, and Tiago H. Falk. "Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer’s Disease Diagnosis." Computational Intelligence and Neuroscience 2023 (February 8, 2023): 1–17. http://dx.doi.org/10.1155/2023/3198066.
Full textBruni, Vittoria, Michela Tartaglione, and Domenico Vitulano. "A Fast and Robust Spectrogram Reassignment Method." Mathematics 7, no. 4 (April 19, 2019): 358. http://dx.doi.org/10.3390/math7040358.
Full textDhakne, Dr Amol, Vaishnav M. Kuduvan, Aniket Palhade, Tarun Kanjwani, and Rushikesh Kshirsagar. "Bird Species Identification using Audio Signal Processing and Neural Networks." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 4002–5. http://dx.doi.org/10.22214/ijraset.2022.43309.
Full textDing, Congzhang, Yong Jia, Guolong Cui, Chuan Chen, Xiaoling Zhong, and Yong Guo. "Continuous Human Activity Recognition through Parallelism LSTM with Multi-Frequency Spectrograms." Remote Sensing 13, no. 21 (October 23, 2021): 4264. http://dx.doi.org/10.3390/rs13214264.
Full textDusek, Daniel. "Decomposition of Non-Stationary Signals Based on the Cochlea Function Principle." Solid State Phenomena 147-149 (January 2009): 594–99. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.594.
Full textWang, Jie, Linhuang Yan, Qiaohe Yang, and Minmin Yuan. "Speech enhancement based on perceptually motivated guided spectrogram filtering." Journal of Intelligent & Fuzzy Systems 40, no. 3 (March 2, 2021): 5443–54. http://dx.doi.org/10.3233/jifs-202278.
Full textLadefoged, Peter. "Answers to spectrograms in 20.1." Journal of the International Phonetic Association 20, no. 2 (December 1990): 19–20. http://dx.doi.org/10.1017/s0025100300004199.
Full textNanni, Loris, Andrea Rigo, Alessandra Lumini, and Sheryl Brahnam. "Spectrogram Classification Using Dissimilarity Space." Applied Sciences 10, no. 12 (June 17, 2020): 4176. http://dx.doi.org/10.3390/app10124176.
Full textFeng, Sheng, Xiaoqiang Hua, and Xiaoqian Zhu. "Matrix Information Geometry for Spectral-Based SPD Matrix Signal Detection with Dimensionality Reduction." Entropy 22, no. 9 (August 20, 2020): 914. http://dx.doi.org/10.3390/e22090914.
Full textWang, Xuebing, Junbao Zhang, and Mengxue Yang. "SonicGest: Ultrasonic Gesture Recognition System Combined with GAN on Smartphones." Journal of Sensors 2023 (June 15, 2023): 1–15. http://dx.doi.org/10.1155/2023/6813911.
Full textTrapanotto, Martino, Loris Nanni, Sheryl Brahnam, and Xiang Guo. "Convolutional Neural Networks for the Identification of African Lions from Individual Vocalizations." Journal of Imaging 8, no. 4 (April 1, 2022): 96. http://dx.doi.org/10.3390/jimaging8040096.
Full textPark, Dongsuk, Seungeui Lee, SeongUk Park, and Nojun Kwak. "Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks." Sensors 21, no. 1 (December 31, 2020): 210. http://dx.doi.org/10.3390/s21010210.
Full textKról, Andrzej, and Tomasz Szymczyk. "Comparative analysis of the quality of recorded sound in the function of different recording formats." Journal of Computer Sciences Institute 24 (September 30, 2022): 189–94. http://dx.doi.org/10.35784/jcsi.2934.
Full textR. mergu, Rohini, and Shantanu K. Dixit. "Multi-Resolution Speech Spectrogram." International Journal of Computer Applications 15, no. 4 (February 28, 2011): 28–32. http://dx.doi.org/10.5120/1937-2587.
Full textSvetlakov, Mikhail, Ilya Kovalev, Anton Konev, Evgeny Kostyuchenko, and Artur Mitsel. "Representation Learning for EEG-Based Biometrics Using Hilbert–Huang Transform." Computers 11, no. 3 (March 20, 2022): 47. http://dx.doi.org/10.3390/computers11030047.
Full textFranzoni, Valentina, Giulio Biondi, and Alfredo Milani. "Emotional sounds of crowds: spectrogram-based analysis using deep learning." Multimedia Tools and Applications 79, no. 47-48 (August 17, 2020): 36063–75. http://dx.doi.org/10.1007/s11042-020-09428-x.
Full textAppenzeller, I., B. Wolf, and O. Stahl. "An extended nebulosity surrounding the S Dor variable R 127." Symposium - International Astronomical Union 122 (1987): 429–30. http://dx.doi.org/10.1017/s0074180900156876.
Full textMersy, Gabriel. "Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (May 18, 2021): 15972–73. http://dx.doi.org/10.1609/aaai.v35i18.17982.
Full text