Academic literature on the topic 'Mel spectrogram analysis'
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Journal articles on the topic "Mel spectrogram analysis"
Lambamo, Wondimu, Ramasamy Srinivasagan, and Worku Jifara. "Analyzing Noise Robustness of Cochleogram and Mel Spectrogram Features in Deep Learning Based Speaker Recognition." Applied Sciences 13, no. 1 (December 31, 2022): 569. http://dx.doi.org/10.3390/app13010569.
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 textByeon, Yeong-Hyeon, and Keun-Chang Kwak. "Pre-Configured Deep Convolutional Neural Networks with Various Time-Frequency Representations for Biometrics from ECG Signals." Applied Sciences 9, no. 22 (November 10, 2019): 4810. http://dx.doi.org/10.3390/app9224810.
Full textReddy, A. Pramod, and Vijayarajan V. "Fusion Based AER System Using Deep Learning Approach for Amplitude and Frequency Analysis." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 3 (May 31, 2022): 1–19. http://dx.doi.org/10.1145/3488369.
Full textYu, Yeonguk, and Yoon-Joong Kim. "Attention-LSTM-Attention Model for Speech Emotion Recognition and Analysis of IEMOCAP Database." Electronics 9, no. 5 (April 26, 2020): 713. http://dx.doi.org/10.3390/electronics9050713.
Full textBous, Frederik, and Axel Roebel. "A Bottleneck Auto-Encoder for F0 Transformations on Speech and Singing Voice." Information 13, no. 3 (February 23, 2022): 102. http://dx.doi.org/10.3390/info13030102.
Full textRajan, Rajeev, and Sreejith Sivan. "Raga Recognition in Indian Carnatic Music Using Convolutional Neural Networks." WSEAS TRANSACTIONS ON ACOUSTICS AND MUSIC 9 (May 7, 2022): 5–10. http://dx.doi.org/10.37394/232019.2022.9.2.
Full textPapadimitriou, Ioannis, Anastasios Vafeiadis, Antonios Lalas, Konstantinos Votis, and Dimitrios Tzovaras. "Audio-Based Event Detection at Different SNR Settings Using Two-Dimensional Spectrogram Magnitude Representations." Electronics 9, no. 10 (September 29, 2020): 1593. http://dx.doi.org/10.3390/electronics9101593.
Full textYazgaç, Bilgi Görkem, and Mürvet Kırcı. "Fractional-Order Calculus-Based Data Augmentation Methods for Environmental Sound Classification with Deep Learning." Fractal and Fractional 6, no. 10 (September 29, 2022): 555. http://dx.doi.org/10.3390/fractalfract6100555.
Full textBarile, C., C. Casavola, G. Pappalettera, and P. K. Vimalathithan. "Sound of a Composite Failure: An Acoustic Emission Investigation." IOP Conference Series: Materials Science and Engineering 1214, no. 1 (January 1, 2022): 012006. http://dx.doi.org/10.1088/1757-899x/1214/1/012006.
Full textDissertations / Theses on the topic "Mel spectrogram analysis"
Semela, René. "Automatické tagování hudebních děl pomocí metod strojového učení." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413253.
Full textConference papers on the topic "Mel spectrogram analysis"
Mittel, Dominik, Sebastian Proll, Florian Kerber, and Thorsten Scholer. "Mel Spectrogram Analysis for Punching Machine Operating State Classification with CNNs." In 2021 IEEE 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE, 2021. http://dx.doi.org/10.1109/etfa45728.2021.9613330.
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