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243 results on '"Gil-Pita, Roberto"'

4. Age and Gender Recognition from Speech Using Deep Neural Networks

Author

Sánchez-Hevia, Héctor A., Gil-Pita, Roberto, Utrilla-Manso, Manuel, Rosa-Zurera, Manuel, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bergasa, Luis M., editor, Ocaña, Manuel, editor, Barea, Rafael, editor, López-Guillén, Elena, editor, and Revenga, Pedro, editor

Published
2021
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10. MFCC based Enlargement of the Training Set for Emotion Recognition in Speech

Author

Mohino-Herranz, Inma, Gil-Pita, Roberto, Alonso-Diaz, Sagrario, and Rosa-Zurera, Manuel

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Emotional state recognition through speech is being a very interesting research topic nowadays. Using subliminal information of speech, denominated as prosody, it is possible to recognize the emotional state of the person. One of the main problems in the design of automatic emotion recognition systems is the small number of available patterns. This fact makes the learning process more difficult, due to the generalization problems that arise under these conditions. In this work we propose a solution to this problem consisting in enlarging the training set through the creation the new virtual patterns. In the case of emotional speech, most of the emotional information is included in speed and pitch variations. So, a change in the average pitch that does not modify neither the speed nor the pitch variations does not affect the expressed emotion. Thus, we use this prior information in order to create new patterns applying a gender dependent pitch shift modification in the feature extraction process of the classification system. For this purpose, we propose a frequency scaling modification of the Mel Frequency Cepstral Coefficients, used to classify the emotion. For this purpose, we propose a gender dependent frequency scaling modification. This proposed process allows us to synthetically increase the number of available patterns in the training set, thus increasing the generalization capability of the system and reducing the test error. Results carried out with two different classifiers with different degree of generalization capability demonstrate the suitability of the proposal., Comment: Signal & Image Processing : An International Journal (SIPIJ)

Published
2014

13. Violence Detection in Real Environments for Smart Cities

Author

García-Gómez, Joaquín, Bautista-Durán, Marta, Gil-Pita, Roberto, Mohino-Herranz, Inma, Rosa-Zurera, Manuel, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, García, Carmelo R., editor, Caballero-Gil, Pino, editor, Burmester, Mike, editor, and Quesada-Arencibia, Alexis, editor

Published
2016
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21. Synchronizing Speech Mixtures in Speech Separation Problems under Reverberant Conditions

Author

Llerena, Cosme, Gil-Pita, Roberto, Álvarez, Lorena, Rosa-Zurera, Manuel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2013
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22. Speech Enhancement in Noisy Environments in Hearing Aids Driven by a Tailored Gain Function Based on a Gaussian Mixture Model

Author

Álvarez, Lorena, Alexandre, Enrique, Llerena, Cosme, Gil-Pita, Roberto, Cuadra, Lucas, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Rutkowski, Leszek, editor, Korytkowski, Marcin, editor, Scherer, Rafał, editor, Tadeusiewicz, Ryszard, editor, Zadeh, Lotfi A., editor, and Zurada, Jacek M., editor

Published
2013
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24. Performance Analysis of MLP-Based Radar Detectors in Weibull-Distributed Clutter with Respect to Target Doppler Frequency

Author

Vicen-Bueno, Raul, Jarabo-Amores, Maria P., Rosa-Zurera, Manuel, Gil-Pita, Roberto, Mata-Moya, David, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, de Sá, Joaquim Marques, editor, Alexandre, Luís A., editor, Duch, Włodzisław, editor, and Mandic, Danilo, editor

Published
2007
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25. An Evolution of Geometric Structures Algorithm for the Automatic Classification of HRR Radar Targets

Author

Carro-Calvo, Leopoldo, Salcedo-Sanz, Sancho, Gil-Pita, Roberto, Portilla-Figueras, Antonio, Rosa-Zurera, Manuel, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yin, Hujun, editor, Tino, Peter, editor, Corchado, Emilio, editor, Byrne, Will, editor, and Yao, Xin, editor

Published
2007
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42. Activity recognition using wearable physiological measurements : Selection of features from a comprehensive literature study

Author

Mohino-Herranz, Inma, Gil-Pita, Roberto, Rosa-Zurera, Manuel, Seoane, Fernando, Mohino-Herranz, Inma, Gil-Pita, Roberto, Rosa-Zurera, Manuel, and Seoane, Fernando

Abstract

Activity and emotion recognition based on physiological signal processing in health care applications is a relevant research field, with promising future and relevant applications, such as health at work or preventive care. This paper carries out a deep analysis of features proposed to extract information from the electrocardiogram, thoracic electrical bioimpedance, and electrodermal activity signals. The activities analyzed are: neutral, emotional, mental and physical. A total number of 533 features are tested for activity recognition, performing a comprehensive study taking into consideration the prediction accuracy, feature calculation, window length, and type of classifier. Feature selection to know the most relevant features from the complete set is implemented using a genetic algorithm, with a different number of features. This study has allowed us to determine the best number of features to obtain a good error probability avoiding over-fitting, and the best subset of features among those proposed in the literature. The lowest error probability that is obtained is 22.2%, with 40 features, a least squares error classifier, and 40 s window length.

Published
2019
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