Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447509
M. Gómez, T. Martínez, S. Sánchez, D. Meziat
The goal of the work described in this paper is to develop a particular optimal control technique based on a Cell-Mapping technique in combination with the Q-learning reinforcement learning method to control wheeled mobile vehicles. This approach manages 4 state variables due to a dynamic model is performed instead of a kinematics model which can be done with less variables. This new solution can be applied to non-linear continuous systems where reinforcement learning methods have multiple constraints. Emphasis is given to the new combination of techniques, which applied to optimal control problems produce satisfactory results. The proposed algorithm is very robust to any change involved in the vehicle parameters because the vehicle model is estimated in real time from received experience.
{"title":"Optimal Control Applied to Wheeled Mobile Vehicles","authors":"M. Gómez, T. Martínez, S. Sánchez, D. Meziat","doi":"10.1109/WISP.2007.4447509","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447509","url":null,"abstract":"The goal of the work described in this paper is to develop a particular optimal control technique based on a Cell-Mapping technique in combination with the Q-learning reinforcement learning method to control wheeled mobile vehicles. This approach manages 4 state variables due to a dynamic model is performed instead of a kinematics model which can be done with less variables. This new solution can be applied to non-linear continuous systems where reinforcement learning methods have multiple constraints. Emphasis is given to the new combination of techniques, which applied to optimal control problems produce satisfactory results. The proposed algorithm is very robust to any change involved in the vehicle parameters because the vehicle model is estimated in real time from received experience.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116109412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447560
I. Adam, C. Nafornita, Jean-Marc Boucher, A. Isar
The property of shift-invariance associated with a good directional selectivity is important for the application of a wavelet transform, (WT), in many fields of image processing. Generally, complex wavelet transforms, like for example the double tree complex wavelet transform, (DTCWT), have these good properties. In this paper we propose the use of a new implementation of such a WT, recently introduced, namely the hyperanalytic wavelet transform, (HWT), in denoising applications. The proposed denoising method is very simple, implying three steps: the computation of the forward WT, the filtering in the wavelets domain and the computation of the inverse WT, (IWT). The goal of this paper is the association of a new implementation of the HWT, recently proposed, with a maximum a posteriori (MAP) filter. Some simulation examples and comparisons prove the performances of the proposed denoising method.
{"title":"A Bayesian Approach of Hyperanalytic Wavelet Transform Based Denoising","authors":"I. Adam, C. Nafornita, Jean-Marc Boucher, A. Isar","doi":"10.1109/WISP.2007.4447560","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447560","url":null,"abstract":"The property of shift-invariance associated with a good directional selectivity is important for the application of a wavelet transform, (WT), in many fields of image processing. Generally, complex wavelet transforms, like for example the double tree complex wavelet transform, (DTCWT), have these good properties. In this paper we propose the use of a new implementation of such a WT, recently introduced, namely the hyperanalytic wavelet transform, (HWT), in denoising applications. The proposed denoising method is very simple, implying three steps: the computation of the forward WT, the filtering in the wavelets domain and the computation of the inverse WT, (IWT). The goal of this paper is the association of a new implementation of the HWT, recently proposed, with a maximum a posteriori (MAP) filter. Some simulation examples and comparisons prove the performances of the proposed denoising method.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"174 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126118453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447586
E. L. Izquierdo, P. Urquhart, M. López-Amo
A novel optical fibre bus network for the multiplexing of sensors, which can recover from one or more point failures in the fibre, is presented. We describe how protection switching can be performed so that it satisfies three simultaneous criteria: 1. the network can survive at least one failure at any location, 2. the propagation losses are nominally equal for all channels, both before and after protection switching, and 3. it is possible to signal the presence of the failure and the required remedial actions without using external network resources. We explain how well known telecommunications protection categories can be applied in the context of sensor networks and we argue that "dedicated line" and "dedicated path" protection are preferable in most circumstances. The two categories of dedicated protection allow the failed fibre segment to be remotely determined merely by monitoring the presence or absence of the channels arriving at the network's receiver node.
{"title":"Optical Fibre Bus Protection Architecture for the Networking of Sensors","authors":"E. L. Izquierdo, P. Urquhart, M. López-Amo","doi":"10.1109/WISP.2007.4447586","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447586","url":null,"abstract":"A novel optical fibre bus network for the multiplexing of sensors, which can recover from one or more point failures in the fibre, is presented. We describe how protection switching can be performed so that it satisfies three simultaneous criteria: 1. the network can survive at least one failure at any location, 2. the propagation losses are nominally equal for all channels, both before and after protection switching, and 3. it is possible to signal the presence of the failure and the required remedial actions without using external network resources. We explain how well known telecommunications protection categories can be applied in the context of sensor networks and we argue that \"dedicated line\" and \"dedicated path\" protection are preferable in most circumstances. The two categories of dedicated protection allow the failed fibre segment to be remotely determined merely by monitoring the presence or absence of the channels arriving at the network's receiver node.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128055471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447507
L. Ribeiro, A. Ruano, M. Ruano, P. Ferreira
Technological and computing evolution promoted new opportunities to improve the quality of life through new medical achievements, in particular, the quality of diagnostic evaluations. Computerised tomography (CT) is one of the imaging equipments for diagnosis which has most benefited from technological improvements. Because of that, and due to the quality of the diagnosis produced, it is one of the most employed equipments in clinical applications. As an example, the ischaemic cerebral vascular accident (ICVA) is a pathology confirming the frequent use of CT. The interest in this pathology, and in general for the encephalon image analysis as a preventive diagnosis, is mainly due to its frequent occurrence in development countries and its social- economic impact. In this paper we propose to evaluate the ability of artificial neural networks (ANNs) for automatic identification of ICVAs by means of tissue density images obtained by CT. Cranioencephalon CT exams and their respective medical reports were used to train ANN classifiers by means of features extracted from the images. Once the ANNs were trained, the classifiers were tested with data never seen by the network. At this stage we may conclude that the ANNs may significantly contribute as an ICVAs CT diagnostic aid, since among the test cases the automatic identification of ischaemic lesions has been performed with no false negatives and very few false positives.
{"title":"Neural networks assisted diagnosis of ischemic CVA's through CT scan","authors":"L. Ribeiro, A. Ruano, M. Ruano, P. Ferreira","doi":"10.1109/WISP.2007.4447507","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447507","url":null,"abstract":"Technological and computing evolution promoted new opportunities to improve the quality of life through new medical achievements, in particular, the quality of diagnostic evaluations. Computerised tomography (CT) is one of the imaging equipments for diagnosis which has most benefited from technological improvements. Because of that, and due to the quality of the diagnosis produced, it is one of the most employed equipments in clinical applications. As an example, the ischaemic cerebral vascular accident (ICVA) is a pathology confirming the frequent use of CT. The interest in this pathology, and in general for the encephalon image analysis as a preventive diagnosis, is mainly due to its frequent occurrence in development countries and its social- economic impact. In this paper we propose to evaluate the ability of artificial neural networks (ANNs) for automatic identification of ICVAs by means of tissue density images obtained by CT. Cranioencephalon CT exams and their respective medical reports were used to train ANN classifiers by means of features extracted from the images. Once the ANNs were trained, the classifiers were tested with data never seen by the network. At this stage we may conclude that the ANNs may significantly contribute as an ICVAs CT diagnostic aid, since among the test cases the automatic identification of ischaemic lesions has been performed with no false negatives and very few false positives.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130567903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447644
R. García-Retegui, S. A. Gonzalez, M. Funes, S. Maestri
This work presents a synchronization method based on the implementation of a sliding-window digital-filter that uses the Goertzel algorithm. The proposed method filters the incoming power grid signal and specifies the input frequency by measuring the period of the output phase. The sampling frequency is adjusted to correct the phase errors introduced by the filter whenever variations in the frequency occur. Regardless of the magnitude of the input frequency variations, this method determines the input frequency with high accuracy.
{"title":"Implementation of a novel synchronization method using Sliding Goertzel DFT","authors":"R. García-Retegui, S. A. Gonzalez, M. Funes, S. Maestri","doi":"10.1109/WISP.2007.4447644","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447644","url":null,"abstract":"This work presents a synchronization method based on the implementation of a sliding-window digital-filter that uses the Goertzel algorithm. The proposed method filters the incoming power grid signal and specifies the input frequency by measuring the period of the output phase. The sampling frequency is adjusted to correct the phase errors introduced by the filter whenever variations in the frequency occur. Regardless of the magnitude of the input frequency variations, this method determines the input frequency with high accuracy.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131952186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447569
Jesús Vega, G. Rattá, A. Murari, P. Castro, S. Dormido-Canto, R. Dormido, G. Farías, A. Pereira, A. Portas, E. L. Luna, I. Pastor, Jose Angel Sanchez, N. Duro, R. Castro, Matilde Santos, H. Vargas
Physics studies in fusion devices require statistical analyses of a large number of discharges. Given the complexity of the plasma and the non-linear interactions between the relevant parameters, connecting a physical phenomenon with the signal patterns that it generates can be quite demanding Up to now, data retrieval has been typically accomplished by means of signal name and shot number. The search of the temporal segment to analyze has been carried out in a manual way. Manual searches in databases must be replaced by intelligent techniques to look for data in an automated way. Structural pattern recognition techniques have proven to be very efficient methods to index and retrieve data in JET and TJ-II databases. Waveforms and images can be accessed through several structural pattern recognition applications.
{"title":"Recent results on structural pattern recognition for Fusion massive databases","authors":"Jesús Vega, G. Rattá, A. Murari, P. Castro, S. Dormido-Canto, R. Dormido, G. Farías, A. Pereira, A. Portas, E. L. Luna, I. Pastor, Jose Angel Sanchez, N. Duro, R. Castro, Matilde Santos, H. Vargas","doi":"10.1109/WISP.2007.4447569","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447569","url":null,"abstract":"Physics studies in fusion devices require statistical analyses of a large number of discharges. Given the complexity of the plasma and the non-linear interactions between the relevant parameters, connecting a physical phenomenon with the signal patterns that it generates can be quite demanding Up to now, data retrieval has been typically accomplished by means of signal name and shot number. The search of the temporal segment to analyze has been carried out in a manual way. Manual searches in databases must be replaced by intelligent techniques to look for data in an automated way. Structural pattern recognition techniques have proven to be very efficient methods to index and retrieve data in JET and TJ-II databases. Waveforms and images can be accessed through several structural pattern recognition applications.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447587
M. Jiang, Yong Wang, F. Rubio, D. Yuan
A new estimation method by the swarm intelligent optimization algorithm is presented to recover the transmitted data bits and code of spread spectrum signal over additive white Gaussian noise channel, while the receiver has no knowledge of the transmitter spreading sequence, only knows the length of spreading sequence. The presented estimation method by Artificial Fish Swarm Algorithm (AFSA) is insensitive to initial values, has a strong robustness, and has the faster convergence speed and better estimation precision than the estimation method by Genetic Algorithm (GA) and the estimation method by Particle Swarm Optimization (PSO). The results show that the method can obtain the optimal or sub-optimal estimation of spreading code, even when the signal power is below the noise power.
{"title":"Spread Spectrum Code Estimation by Artificial Fish Swarm Algorithm","authors":"M. Jiang, Yong Wang, F. Rubio, D. Yuan","doi":"10.1109/WISP.2007.4447587","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447587","url":null,"abstract":"A new estimation method by the swarm intelligent optimization algorithm is presented to recover the transmitted data bits and code of spread spectrum signal over additive white Gaussian noise channel, while the receiver has no knowledge of the transmitter spreading sequence, only knows the length of spreading sequence. The presented estimation method by Artificial Fish Swarm Algorithm (AFSA) is insensitive to initial values, has a strong robustness, and has the faster convergence speed and better estimation precision than the estimation method by Genetic Algorithm (GA) and the estimation method by Particle Swarm Optimization (PSO). The results show that the method can obtain the optimal or sub-optimal estimation of spreading code, even when the signal power is below the noise power.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447604
C. Cerrada, S. Salamanca, Emiliano Pérez, J. A. Cerrada, Ismael Abad
This work presents a new method for object recognition in complex scenes combining vision-based techniques applied to the 3D data obtained using range sensors, and object identification coming from Radio Frequency tags (RFID technology). Vision based algorithms for 3D recognition have many restrictions in practical applications: uncertainty, incapability for real time tasks; but they work well for pose determination once the object is recognized. On the other hand, RFID technology allows detecting the presence of specific objects in a scene but it cannot provide their localization. In this paper, we show the powerful recognition tool obtained by fusioning both techniques. The phases of the proposed procedure are described and an in depth experimental demonstration is included. A performance analysis of the method is made by comparing the recognition algorithm with and without the RFID phase. Obtained results, concerning to success rate increasing and computational cost reduction, confirm the robustness of this fusion approach and prove its effectiveness.
{"title":"Fusion of 3D Vision Techniques and RFID Technology for Object Recognition in Complex Scenes","authors":"C. Cerrada, S. Salamanca, Emiliano Pérez, J. A. Cerrada, Ismael Abad","doi":"10.1109/WISP.2007.4447604","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447604","url":null,"abstract":"This work presents a new method for object recognition in complex scenes combining vision-based techniques applied to the 3D data obtained using range sensors, and object identification coming from Radio Frequency tags (RFID technology). Vision based algorithms for 3D recognition have many restrictions in practical applications: uncertainty, incapability for real time tasks; but they work well for pose determination once the object is recognized. On the other hand, RFID technology allows detecting the presence of specific objects in a scene but it cannot provide their localization. In this paper, we show the powerful recognition tool obtained by fusioning both techniques. The phases of the proposed procedure are described and an in depth experimental demonstration is included. A performance analysis of the method is made by comparing the recognition algorithm with and without the RFID phase. Obtained results, concerning to success rate increasing and computational cost reduction, confirm the robustness of this fusion approach and prove its effectiveness.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124782507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447522
C. Soria, Lizardo Par, R. Carelli, J. M. Sebastián
This work presents a control strategy that allows a follower robot to track a target vehicle moving along an unknown trajectory with unknown velocity. It uses only artificial vision to establish both the robot's position and orientation relative to the target, so as to maintain a specified formation at a given distance. The control system is proved to be asymptotically stable at the equilibrium point, which corresponds to the navigation objective. Experimental results with two robots, a leader and a follower, are included to show the performance of the proposed vision-based tracking control system.
{"title":"Homography-Based Tracking Control for Mobile Robot","authors":"C. Soria, Lizardo Par, R. Carelli, J. M. Sebastián","doi":"10.1109/WISP.2007.4447522","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447522","url":null,"abstract":"This work presents a control strategy that allows a follower robot to track a target vehicle moving along an unknown trajectory with unknown velocity. It uses only artificial vision to establish both the robot's position and orientation relative to the target, so as to maintain a specified formation at a given distance. The control system is proved to be asymptotically stable at the equilibrium point, which corresponds to the navigation objective. Experimental results with two robots, a leader and a follower, are included to show the performance of the proposed vision-based tracking control system.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124562828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2007-10-01DOI: 10.1109/WISP.2007.4447650
R. Barra, Javier Macias-Guarasa, J. Montero, C. Rincón, F. Fernández, R. Córdoba
In this paper we describe recent work oriented towards establishing some background to support the design of successful "universal" (language independent, specifically) emotional speech identification systems. Our final goal is using such systems to improve state of the art advanced spoken language systems. We carried out several experiments with emotional speech databases for Spanish (SES) and German (EMODB), including language-dependent tasks (to establish the accuracy of the identification systems), and language independent (cross-language) tasks. We show how automatic emotion identification results can be comparable to those obtained by human listeners, provided that enough training data is available. Moreover, and in spite of data availability, we also show how there are emotions (sadness and anger) that are clearly identified in the automatic experiments, for both languages, showing a reasonably clear "language-independent" behavior of such emotions. Finally, we show how psychological considerations related to the emotional speech generation process can be somehow related to our experimental results, suggesting that previously identifying such psychological features may greatly help the development of high quality "universal" emotional speech identification systems.
{"title":"In Search of Primary Rubrics for Language Independent Emotional Speech Identification","authors":"R. Barra, Javier Macias-Guarasa, J. Montero, C. Rincón, F. Fernández, R. Córdoba","doi":"10.1109/WISP.2007.4447650","DOIUrl":"https://doi.org/10.1109/WISP.2007.4447650","url":null,"abstract":"In this paper we describe recent work oriented towards establishing some background to support the design of successful \"universal\" (language independent, specifically) emotional speech identification systems. Our final goal is using such systems to improve state of the art advanced spoken language systems. We carried out several experiments with emotional speech databases for Spanish (SES) and German (EMODB), including language-dependent tasks (to establish the accuracy of the identification systems), and language independent (cross-language) tasks. We show how automatic emotion identification results can be comparable to those obtained by human listeners, provided that enough training data is available. Moreover, and in spite of data availability, we also show how there are emotions (sadness and anger) that are clearly identified in the automatic experiments, for both languages, showing a reasonably clear \"language-independent\" behavior of such emotions. Finally, we show how psychological considerations related to the emotional speech generation process can be somehow related to our experimental results, suggesting that previously identifying such psychological features may greatly help the development of high quality \"universal\" emotional speech identification systems.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114497969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：