Searching for Fuzzy Support Vector Machines For Automatic Infant Cry Recognition information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/225365985_Fuzzy_Support_Vector_Machines_for_Automatic_Infant_Cry_Recognition
With the aim in usefully applying the crying information, in this paper we present the use of Fuzzy Support Vector Machines (FSVM) for two different infant cry recognition tasks.
https://link.springer.com/chapter/10.1007/978-3-540-37258-5_107
Several studies have shown that infant cry can be a valuable tool to determine the different infant’s emotional, and physiological states. With the aim in usefully applying the crying information, in this paper we present the use of Fuzzy Support Vector Machines …Cited by: 21
https://link.springer.com/chapter/10.1007/978-3-642-33275-3_26
In the last years, infant cry recognition has been of particular interest because it contains useful information to determine if the infant is hungry, has pain, or a particular disease. Several... Infant Cry Classification Using Genetic Selection of a Fuzzy Model SpringerLinkCited by: 6
https://www.sciencedirect.com/science/article/pii/S1746809414001517
Classifying infant cry patterns by the Genetic Selection of a Fuzzy Model. ... S. Barajas-Montiel, C. Reyes-GarcíaFuzzy support vector machines for automatic infant cry recognition. D.-S. Huang, K. Li, G. Irwin (Eds.), Intelligent Computing in Signal Processing and Pattern Recognition. Vol. 345 of Lecture Notes in Control and Information ...Cited by: 7
https://www.researchgate.net/publication/331605037_Infant_Cry_Recognition_System_A_Comparison_of_System_Performance_based_on_CDHMM_and_ANN
A new approach has been proposed to design of an automatic infant cry recognition system based on the fuzzy transform (F-transform) that classifies two different kinds of cries, which come from ...
https://www.youtube.com/watch?v=0f5xdM0wYuY
Mar 28, 2010 · Automatic Analysis of the Infant Cry Part 1 ... Neuro-Fuzzy classifiers and Support vector Machines (SVM) were among the classifiers for modeling the normal and pathological cries of infants ...
http://www.aes.org/e-lib/browse.cfm?elib=17465
AES E-Library Real-Time Infant Cry Detection in Diverse Environments: A Novel Approach ... 2009 [4] Barajas-Montiel SE, Reyes-Garc a CA., " Fuzzy Support vector machines for automatic infant cry recognition", Lecture Notes in Control and Information Sciences (LNCIS). vol. 345. ... Mermelstein, P., "Comparison of parametric representations for ...
https://ccc.inaoep.mx/~kargaxxi/conferences.html
"Fuzzy Support Vector Machines for Automatic Infant Cry Recognition", at the 2006 International Conference on Intelligent Computing (ICIC 2006), Kunming, China, August 18, 2006. "A Hybrid Fuzzy-Genetic Algorithm", at the 2006 International Conference on Intelligent Computing (ICIC 2006), Kunming, China, August 17, 2006.
http://posgrados.inaoep.mx/portalfiles/Articulos%20Publicados%20Computo%20Ene-Dic%202006.pdf
Mandujano, Improving Baby Caring with Automatic Infant Cry Recognition, Lecture ... Fuzzy Support Vector Machines for Automatic Infant Cry Recognition, Lecture Notes in Control and Information Sciences (LNCIS) Vol. 345, Springer, August 2005, pp. 876 – 881. 12. Agustin Leon-Barranco, Carlos A. Reyes-Garcia, and Ramon Zatarain-Cabada. A
https://www.isca-speech.org/archive/Interspeech_2018/pdfs/2187.pdf
Automated recognition of an infant's cry from audio can be ... tween different classes could be fuzzy in nature. This implies the need for developing reliable and robust algorithms for clas- ... algorithms such as nearest neighbor or support vector machines (SVM) [16].
https://dl.acm.org/citation.cfm?id=3016925
Robust phoneme classification for automatic speech recognition using hybrid features and an amalgamated learning model ... Maghrebian dialect recognition based on support vector machines and neural network classifiers: Mohamed Hassine ... For the spectrographic analysis of the infant cries ten different cry modes are used to analyze differences ...
https://dl.acm.org/doi/book/10.5555/153687
Section 5.7, on speech recognition under adverse conditions, is interesting, useful, and readable. Arguably the most important technique of modern speech recognition, hidden Markov models (HMMs), is covered in chapter 6. Much of this chapter consists of a highly informative tutorial on HMMs that is based on an earlier paper by Rabiner [1].
https://speed.pub.ro/people/horia-cucu/
Ioana-Alina Bănică, Horia Cucu, Andi Buzo, Dragoş Burileanu and Corneliu Burileanu, “Automatic Methods for Infant Cry Classification,” in the Proceedings of the 11th International Conference on Communications (COMM), Bucharest, Romania, 2016, pp. 51-54.
https://uni-obuda.hu/journal/Robu_Holban_60.pdf
recognition the infant cries. The results showed that the classification performance obtained by using the Neuro-fuzzy techniques yielded the most desirable accuracy over other popular methods. In the paper [15] the authors created a classification model with the aid of the Support Vector Machines algorithm which can classify,
https://www.worldcat.org/title/micai-2009-advances-in-artificial-intelligence-8th-mexican-international-conference-on-artificial-intelligence-guanajuato-mexico-november-9-13-2009-proceedings/oclc/1111047652
Get this from a library! MICAI 2009: Advances in Artificial Intelligence : 8th Mexican International Conference on Artificial Intelligence, Guanajuato, México, November 9-13, 2009. Proceedings. [Arturo Hernández Aguirre; Raúl Monroy Borja; Carlos Alberto Reyes Garciá] -- The Mexican International Conference on Arti?cial Intelligence (MICAI), a yearly international conference organized by ...
https://www.worldscientific.com/doi/abs/10.1142/S0129065707001196
This paper proposes an intelligent 2ν-support vector machine based match score fusion algorithm to improve the performance of face and iris recognition by integrating the quality of images. The proposed algorithm applies redundant discrete wavelet transform to evaluate the underlying linear and non-linear features present in the image.
http://www.ciarp.org/xvii/images/docs/ciarp%202012%20invited%20talks%20and%20oral%20sessions.pdf
Multi-class Support Vector Machines Revisited Asja Fischer and Christian Igel 03/09/2012 13:00 - 14:00 ... Automatic Camera Pose Recognition in Planar View Scenarios Luis Alvarez, Luis Gomez, Pedro Henriquez and Luis Mazorra ... Infant Cry Classi cation Using Genetic Selection of a Fuzzy Model
https://www.chegg.com/etextbooks/micai-2005-advances-in-artificial-intelligence-1st-edition-9783540316534-3540316531
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https://www.worldcat.org/title/progress-in-pattern-recognition-image-analysis-and-applications-9th-iberoamerican-congress-on-pattern-recognition-ciarp-2004-puebla-mexico-october-26-29-2004-proceedings/oclc/150395624
One-Class Support Vector Machines and Density Estimation: The Precise Relation.- Fuzzy Model Based Control Applied to Path Planning Visual Servoing.- ... A Radial Basis Function Network Oriented for Infant Cry Classification.- On the Use of Automatic Speech Recognition for Spoken Information Retrieval from Video Databases.- Acoustical Analysis ...
https://www.springer.com/gp/book/9783642052576
Automatic Camera Localization, Reconstruction and Segmentation of Multi-planar Scenes Using Two Views ... Fuzzy Relational Compression Applied on Feature Vectors for Infant Cry Recognition. Pages 420-431. Reyes-Galaviz, Orion Fausto (et al.) ... Using Wolfe’s Method in Support Vector Machines Learning Stage. Pages 488-499. Frausto-Solís ...
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