Artículos de revistas sobre el tema "MFCC"
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Lankala, Srinija y Dr M. Ramana Reddy. "Design and Implementation of Energy-Efficient Floating Point MFCC Extraction Architecture for Speech Recognition Systems". International Journal for Research in Applied Science and Engineering Technology 10, n.º 9 (30 de septiembre de 2022): 1217–25. http://dx.doi.org/10.22214/ijraset.2022.46807.
Texto completoChu, Yun Yun, Wei Hua Xiong, Wei Wei Shi y Yu Liu. "The Extraction of Differential MFCC Based on EMD". Applied Mechanics and Materials 313-314 (marzo de 2013): 1167–70. http://dx.doi.org/10.4028/www.scientific.net/amm.313-314.1167.
Texto completoMohammed, Duraid Y., Khamis Al-Karawi y Ahmed Aljuboori. "Robust speaker verification by combining MFCC and entrocy in noisy conditions". Bulletin of Electrical Engineering and Informatics 10, n.º 4 (1 de agosto de 2021): 2310–19. http://dx.doi.org/10.11591/eei.v10i4.2957.
Texto completoEskidere, Ömer y Ahmet Gürhanlı. "Voice Disorder Classification Based on Multitaper Mel Frequency Cepstral Coefficients Features". Computational and Mathematical Methods in Medicine 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/956249.
Texto completoAbdul, Zrar Khalid. "Kurdish Spoken Letter Recognition based on k-NN and SVM Model". Journal of University of Raparin 7, n.º 4 (30 de noviembre de 2020): 1–12. http://dx.doi.org/10.26750/vol(7).no(4).paper1.
Texto completoRaychaudhuri, Aryama, Rudra Narayan Sahoo y Manaswini Behera. "Application of clayware ceramic separator modified with silica in microbial fuel cell for bioelectricity generation during rice mill wastewater treatment". Water Science and Technology 84, n.º 1 (4 de junio de 2021): 66–76. http://dx.doi.org/10.2166/wst.2021.213.
Texto completoHuizen, Roy Rudolf y Florentina Tatrin Kurniati. "Feature extraction with mel scale separation method on noise audio recordings". Indonesian Journal of Electrical Engineering and Computer Science 24, n.º 2 (1 de noviembre de 2021): 815. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp815-824.
Texto completoZhou, Ping, Xiao Pan Li, Jie Li y Xin Xing Jing. "Speech Emotion Recognition Based on Mixed MFCC". Applied Mechanics and Materials 249-250 (diciembre de 2012): 1252–58. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.1252.
Texto completoSharma, Samiksha, Anupam Shukla y Pankaj Mishra. "Speech and Language Recognition using MFCC and DELTA-MFCC". International Journal of Engineering Trends and Technology 12, n.º 9 (25 de junio de 2014): 449–52. http://dx.doi.org/10.14445/22315381/ijett-v12p286.
Texto completoG., Rupali y S. K. Bhatia. "Analysis of MFCC and Multitaper MFCC Feature Extraction Methods". International Journal of Computer Applications 131, n.º 4 (17 de diciembre de 2015): 7–10. http://dx.doi.org/10.5120/ijca2015906883.
Texto completoQian, Su Xiang, Fu Xi Liu y Jian Cao. "Design of Sound Recognition System Based on Modified Neural Network". Applied Mechanics and Materials 278-280 (enero de 2013): 1178–81. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1178.
Texto completoVarma, V. Sai Nitin y Abdul Majeed K.K. "Advancements in Speaker Recognition: Exploring Mel Frequency Cepstral Coefficients (MFCC) for Enhanced Performance in Speaker Recognition". International Journal for Research in Applied Science and Engineering Technology 11, n.º 8 (31 de agosto de 2023): 88–98. http://dx.doi.org/10.22214/ijraset.2023.55124.
Texto completoPrayogi, Yanuar Risah. "Modifikasi Metode MFCC untuk Identifikasi Pembicara di Lingkungan Ber-Noise". JOINTECS (Journal of Information Technology and Computer Science) 4, n.º 1 (12 de julio de 2019): 13. http://dx.doi.org/10.31328/jointecs.v4i1.999.
Texto completoXie, Tao, Xiaodong Zheng y Yan Zhang. "Seismic facies analysis based on speech recognition feature parameters". GEOPHYSICS 82, n.º 3 (1 de mayo de 2017): O23—O35. http://dx.doi.org/10.1190/geo2016-0121.1.
Texto completoPhapatanaburi, Khomdet, Wongsathon Pathonsuwan, Longbiao Wang, Patikorn Anchuen, Talit Jumphoo, Prawit Buayai, Monthippa Uthansakul y Peerapong Uthansakul. "Whispered Speech Detection Using Glottal Flow-Based Features". Symmetry 14, n.º 4 (8 de abril de 2022): 777. http://dx.doi.org/10.3390/sym14040777.
Texto completoLalitha, S. y Deepa Gupta. "An Encapsulation of Vital Non-Linear Frequency Features for Various Speech Applications". Journal of Computational and Theoretical Nanoscience 17, n.º 1 (1 de enero de 2020): 303–7. http://dx.doi.org/10.1166/jctn.2020.8666.
Texto completoH. Mohd Johari, N., Noreha Abdul Malik y K. A. Sidek. "Distinctive features for normal and crackles respiratory sounds using cepstral coefficients". Bulletin of Electrical Engineering and Informatics 8, n.º 3 (1 de septiembre de 2019): 875–81. http://dx.doi.org/10.11591/eei.v8i3.1517.
Texto completoZhang, Lanyue, Di Wu, Xue Han y Zhongrui Zhu. "Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor". Journal of Sensors 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/7864213.
Texto completoSaumard, Matthieu. "Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis". Big Data and Cognitive Computing 7, n.º 3 (25 de agosto de 2023): 146. http://dx.doi.org/10.3390/bdcc7030146.
Texto completoSingh, Satyanand y E. G. Rajan. "Vector Quantization Approach for Speaker Recognition using MFCC and Inverted MFCC". International Journal of Computer Applications 17, n.º 1 (31 de marzo de 2011): 1–7. http://dx.doi.org/10.5120/2188-2774.
Texto completoDadula, Cristina P. y Elmer P. Dadios. "Fuzzy Logic System for Abnormal Audio Event Detection Using Mel Frequency Cepstral Coefficients". Journal of Advanced Computational Intelligence and Intelligent Informatics 21, n.º 2 (15 de marzo de 2017): 205–10. http://dx.doi.org/10.20965/jaciii.2017.p0205.
Texto completoTirta, Luhfita, Joan Santoso y Endang Setyati. "Pengenalan Lirik Lagu Otomatis Pada Video Lagu Indonesia Menggunakan Hidden Markov Model Yang Dilengkapi Music Removal". Journal of Information System,Graphics, Hospitality and Technology 4, n.º 2 (12 de diciembre de 2022): 86–94. http://dx.doi.org/10.37823/insight.v4i2.225.
Texto completoSharif, Afriandy, Opim Salim Sitompul y Erna Budhiarti Nababan. "Analysis Of Variation In The Number Of MFCC Features In Contrast To LSTM In The Classification Of English Accent Sounds". JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 6, n.º 2 (25 de enero de 2023): 587–601. http://dx.doi.org/10.31289/jite.v6i2.8566.
Texto completoZhu, Qiang, Zhong Wang, Yunfeng Dou y Jian Zhou. "Whispered Speech Conversion Based on the Inversion of Mel Frequency Cepstral Coefficient Features". Algorithms 15, n.º 2 (20 de febrero de 2022): 68. http://dx.doi.org/10.3390/a15020068.
Texto completoRajesh, Sangeetha y Nalini N. J. "Recognition of Musical Instrument Using Deep Learning Techniques". International Journal of Information Retrieval Research 11, n.º 4 (octubre de 2021): 41–60. http://dx.doi.org/10.4018/ijirr.2021100103.
Texto completoDua, Mohit, Rajesh Kumar Aggarwal y Mantosh Biswas. "Optimizing Integrated Features for Hindi Automatic Speech Recognition System". Journal of Intelligent Systems 29, n.º 1 (1 de octubre de 2018): 959–76. http://dx.doi.org/10.1515/jisys-2018-0057.
Texto completoBoulmaiz, Amira, Djemil Messadeg, Noureddine Doghmane y Abdelmalik Taleb-Ahmed. "Design and Implementation of a Robust Acoustic Recognition System for Waterbird Species using TMS320C6713 DSK". International Journal of Ambient Computing and Intelligence 8, n.º 1 (enero de 2017): 98–118. http://dx.doi.org/10.4018/ijaci.2017010105.
Texto completoYang, Xing Hai, Wen Jie Fu, Yu Tai Wang, Jia Ding y Chang Zhi Wei. "Heart Sound Clustering Based on Supervised Kohonen Network". Applied Mechanics and Materials 138-139 (noviembre de 2011): 1115–20. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.1115.
Texto completoPanda, Siva Prasad, Rajsekhar Reddy A y Uttam Prasad Panigrahy. "EVALUATION OF ANTICANCER ACTIVITY OF CUCUMIS CALLOSUS AGAINST EHRLICH’S ASCITES CARCINOMA BEARING MICE". Asian Journal of Pharmaceutical and Clinical Research 11, n.º 10 (7 de octubre de 2018): 438. http://dx.doi.org/10.22159/ajpcr.2018.v11i10.27439.
Texto completoGupta, Shikha, Jafreezal Jaafar, Wan Fatimah wan Ahmad y Arpit Bansal. "Feature Extraction Using Mfcc". Signal & Image Processing : An International Journal 4, n.º 4 (31 de agosto de 2013): 101–8. http://dx.doi.org/10.5121/sipij.2013.4408.
Texto completoRuan, Peilin, Xu Zheng, Yi Qiu y Zhiyong Hao. "A Binaural MFCC-CNN Sound Quality Model of High-Speed Train". Applied Sciences 12, n.º 23 (28 de noviembre de 2022): 12151. http://dx.doi.org/10.3390/app122312151.
Texto completoGao, Lun, Tai Fu Li y Feng Wen. "Application in Extraction of Voice Recognition Characteristic for Relief Algorithm". Advanced Materials Research 765-767 (septiembre de 2013): 2772–75. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2772.
Texto completoNichting, Thomas J., Maretha Bester, Rohan Joshi, Massimo Mischi, Myrthe van der Ven, Daisy A. A. van der Woude, S. Guid Oei, Judith O. E. H. van Laar y Rik Vullings. "Evidence and clinical relevance of maternal-fetal cardiac coupling: A scoping review". PLOS ONE 18, n.º 7 (12 de julio de 2023): e0287245. http://dx.doi.org/10.1371/journal.pone.0287245.
Texto completoHidayat, Syahroni. "SPEECH RECOGNITION OF KV-PATTERNED INDONESIAN SYLLABLE USING MFCC, WAVELET AND HMM". Kursor 8, n.º 2 (12 de diciembre de 2016): 67. http://dx.doi.org/10.28961/kursor.v8i2.63.
Texto completoHartono, Henry, Viny Christanti Mawardi y Janson Hendryli. "PERANCANGAN SISTEM PENCARIAN LAGU INDONESIA MENGGUNAKAN QUERY BY HUMMING BERBASIS LONG SHORT-TERM MEMORY". Jurnal Ilmu Komputer dan Sistem Informasi 9, n.º 1 (18 de enero de 2021): 106. http://dx.doi.org/10.24912/jiksi.v9i1.11567.
Texto completoBhalke, Daulappa Guranna, Betsy Rajesh y Dattatraya Shankar Bormane. "Automatic Genre Classification Using Fractional Fourier Transform Based Mel Frequency Cepstral Coefficient and Timbral Features". Archives of Acoustics 42, n.º 2 (27 de junio de 2017): 213–22. http://dx.doi.org/10.1515/aoa-2017-0024.
Texto completoChen, Qianru, Zhifeng Wu, Qinghua Zhong y Zhiwei Li. "Heart Sound Classification Based on Mel-Frequency Cepstrum Coefficient Features and Multi-Scale Residual Recurrent Neural Networks". Journal of Nanoelectronics and Optoelectronics 17, n.º 8 (1 de agosto de 2022): 1144–53. http://dx.doi.org/10.1166/jno.2022.3305.
Texto completoSasilo, Ababil Azies, Rizal Adi Saputra y Ika Purwanti Ningrum. "Sistem Pengenalan Suara Dengan Metode Mel Frequency Cepstral Coefficients Dan Gaussian Mixture Model". Komputika : Jurnal Sistem Komputer 11, n.º 2 (25 de agosto de 2022): 203–10. http://dx.doi.org/10.34010/komputika.v11i2.6655.
Texto completoShivaprasad, Satla y Manchala Sadanandam. "Optimized Features Extraction from Spectral and Temporal Features for Identifying the Telugu Dialects by Using GMM and HMM". Ingénierie des systèmes d information 26, n.º 3 (30 de junio de 2021): 275–83. http://dx.doi.org/10.18280/isi.260304.
Texto completoGonzález, M. L. Jiménez, Carlos Hernández Benítez, Zabdiel Abisai Juarez, Evelyn Zamudio Pérez, Víctor Ángel Ramírez Coutiño, Irma Robles, Luis A. Godínez y Francisco J. Rodríguez-Valadez. "Study of the Effect of Activated Carbon Cathode Configuration on the Performance of a Membrane-Less Microbial Fuel Cell". Catalysts 10, n.º 6 (2 de junio de 2020): 619. http://dx.doi.org/10.3390/catal10060619.
Texto completoHidayat, Syahroni, Muhammad Tajuddin, Siti Agrippina Alodia Yusuf, Jihadil Qudsi y Nenet Natasudian Jaya. "WAVELET DETAIL COEFFICIENT AS A NOVEL WAVELET-MFCC FEATURES IN TEXT-DEPENDENT SPEAKER RECOGNITION SYSTEM". IIUM Engineering Journal 23, n.º 1 (4 de enero de 2022): 68–81. http://dx.doi.org/10.31436/iiumej.v23i1.1760.
Texto completoAlghifari, Muhammad Fahreza, Teddy Surya Gunawan y Mira Kartiwi. "Speech Emotion Recognition Using Deep Feedforward Neural Network". Indonesian Journal of Electrical Engineering and Computer Science 10, n.º 2 (1 de mayo de 2018): 554. http://dx.doi.org/10.11591/ijeecs.v10.i2.pp554-561.
Texto completoHeriyanto, Heriyanto, Sri Hartati y Agfianto Eko Putra. "EKSTRAKSI CIRI MEL FREQUENCY CEPSTRAL COEFFICIENT (MFCC) DAN RERATA COEFFICIENT UNTUK PENGECEKAN BACAAN AL-QUR’AN". Telematika 15, n.º 2 (31 de octubre de 2018): 99. http://dx.doi.org/10.31315/telematika.v15i2.3123.
Texto completoCHEN, X. H. y J. Z. H. ZHANG. "MFCC-DOWNHILL SIMPLEX METHOD FOR MOLECULAR STRUCTURE OPTIMIZATION". Journal of Theoretical and Computational Chemistry 03, n.º 03 (septiembre de 2004): 277–89. http://dx.doi.org/10.1142/s0219633604001045.
Texto completoZhang, Hongxing, Hu Li, Wenxin Chen y Hongjun Han. "Feature Extraction of Speech Signal Based on MFCC (Mel cepstrum coefficient)". Journal of Physics: Conference Series 2584, n.º 1 (1 de septiembre de 2023): 012143. http://dx.doi.org/10.1088/1742-6596/2584/1/012143.
Texto completoLee, Ji-Yeoun. "Classification between Elderly Voices and Young Voices Using an Efficient Combination of Deep Learning Classifiers and Various Parameters". Applied Sciences 11, n.º 21 (21 de octubre de 2021): 9836. http://dx.doi.org/10.3390/app11219836.
Texto completoThanh, Chu Ba, Trinh Van Loan y Nguyen Hong Quang. "SOME NEW RESULTS ON AUTOMATIC IDENTIFICATION OF VIETNAMESE FOLK SONGS CHEO AND QUANHO". Journal of Computer Science and Cybernetics 36, n.º 4 (14 de diciembre de 2020): 325–45. http://dx.doi.org/10.15625/1813-9663/36/4/14424.
Texto completoSingh, Mahesh K., S. Manusha, K. V. Balaramakrishna y Sridevi Gamini. "Speaker Identification Analysis Based on Long-Term Acoustic Characteristics with Minimal Performance". International Journal of Electrical and Electronics Research 10, n.º 4 (30 de diciembre de 2022): 848–52. http://dx.doi.org/10.37391/ijeer.100415.
Texto completoKasim, Anita Ahmad, Muhammad Bakri, Irwan Mahmudi, Rahmawati Rahmawati y Zulnabil Zulnabil. "Artificial Intelligent for Human Emotion Detection with the Mel-Frequency Cepstral Coefficient (MFCC)". JUITA : Jurnal Informatika 11, n.º 1 (6 de mayo de 2023): 47. http://dx.doi.org/10.30595/juita.v11i1.15435.
Texto completoHeriyanto, Heriyanto Heriyanto. "DETEKSI UCAPAN ANGKA SATU SAMPAI SEPULUH BAHASA PALEMBANG MENGGUNAKAN MFCC DAN BOBOT DOMINAN". Telematika 16, n.º 1 (10 de abril de 2019): 52. http://dx.doi.org/10.31315/telematika.v16i1.3024.
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