PNN (Probabilistic Neural Network) & Dialog Systems


Probabilistic Neural Network

See also:

100 Best GitHub: Deep Learning | 100 Best Neural Network Videos | Holographic Neural Technology | Neural Networks In Dialog Systems


INSPIRE: Evaluation of a smart-home system for infotainment management and device control S Möller, J Krebber, A Raake, P Smeele… – arXiv preprint cs/ …, 2004 – arxiv.org … References Ganchev, T., Fakotakis, N., Kokkinakis, G. (2002). A Speaker Verification System Based on Probabilistic Neural Networks. In Proc. … Möller, S. (2004). A New ITU-T Recommendation on the Evaluation of Telephone-Based Spoken Dialogue Systems. In Proc. … Cited by 33 Related articles All 18 versions Cite Save

Online learning of objects in a biologically motivated visual architecture H Wersing, S Kirstein, M Götting, H Brandl… – … Journal of Neural …, 2007 – World Scientific … 13 Li et al. have presented a system for interactive object learning on a mobile robot that features an elaborated multi-modal dialogue system to enable context-dependent attention selection using speech Page 3. 2 July 29, 2007 21:53 00108 … Cited by 23 Related articles All 19 versions Cite Save

Gesture components for natural interaction with in-car devices M Zobl, R Nieschulz, M Geiger, M Lang… – … -Based Communication in …, 2004 – Springer … Fig. 8. Recognition rate of the probabilistic neural network used in the first stage of the help system Page 10. … (2000) 462–467 5. Morguet, P., Lang, M.: Comparison of approaches to continuous hand gesture recognition for a visual dialog system. In: Proceedings, ICASP 1999 Int. … Cited by 12 Related articles All 15 versions Cite Save

Speech recognition in the Waxholm dialog system M Blomberg, K Elenius, N Ström – Lund Working Papers in …, 2009 – journals.lub.lu.se … K., Granström, B., Gustafson, J., Hunnicutt, S., Lindeli, R., and Neovius, L. (1993): “An experimental dialog system: WAXHOLM,” Proceedings of … Elenius K. & Traven H. (1993): “Multi-layer perceptrons and probabilistic neural networks for phoneme recognition,” Proceedings of … Cited by 2 Related articles All 10 versions Cite Save More

Classification on speech emotion recognition-a comparative study T Iliou, CN Anagnostopoulos – … Journal on Advances in Life Sciences, 2010 – thinkmind.org … In the speaker dependent framework, Probabilistic Neural Network reaches very high accuracy(94%), while in the speaker independent framework the classification … For example a dialog system might modulate its speech to be more puerile if it deems the emotional model of … Cited by 9 Related articles All 3 versions Cite Save

A comparative study of gender and age classification in speech signals MH Sedaaghi – Iranian Journal of Electrical & Electronic Engineering, 2009 – 198.55.49.74 … The Bayes classifier using sequential floating forward selection (SFFS) for feature selection, probabilistic Neural Networks (PNNs), support vector machines (SVMs), the K nearest neighbor (K-NN) and Gaussian mixture model (GMM), as different classifiers, are empirically … Cited by 13 Related articles All 6 versions Cite Save More

SVM-MLP-PNN classifiers on speech emotion recognition field-A comparative study T Iliou, CN Anagnostopoulos – … (ICDT), 2010 Fifth International …, 2010 – ieeexplore.ieee.org … In speaker dependent framework, Probabilistic Neural Network classifier reached very high accuracy of 94%, whereas in speaker independent framework, Support Vector … For example a dialog system might modulate its speech to be more puerile if it deems the emotional model … Cited by 5 Related articles All 4 versions Cite Save

Gender Classification in Speech Recognition using Fuzzy Logic and Neural Network. K Meena, K Subramaniam… – … Arab Journal of …, 2013 – search.ebscohost.com … the Bayes classifier using various techniques Sequential Floating Forward Selection (SFFS) for feature selection, probabilistic Neural Networks (PNNs), Support … of speaker’s gender by her/his voice has been an important aspect for achieving high-quality dialogue systems. … Cited by 4 Related articles All 9 versions Cite Save

Negative Emotional State Detection from Speech P Zervas, T Ganchev, N Fakotakis – … on Communication systems, …, 2006 – wcl.ece.upatras.gr … speech interaction system for a smart home environment, Detecting negative emotional states, would make the spoken dialogue system capable to … rapidly ex- tracted on-line; and (d) two different classification tech- niques have been utilized: Probabilistic Neural Network [9] and … Cited by 1 Related articles Cite Save More

Improved Malay vowel feature extraction method based on first and second formants AMY Shahrul, F Siraj, S Yaacob… – Computational …, 2010 – ieeexplore.ieee.org … USM experimented with 200 vowel signals using wavelet de- noising approach and Probabilistic Neural Network Model [13]. … research workshop on Perception and Interactive Technologies for Speech- Based Systems: Perception in Multimodal Dialogue Systems Kloster Irsee … Cited by 2 Related articles All 4 versions Cite Save

Interactive Dialogue for Behavior Teaching to Robots based on Primitive Behaviors with Fuzzy Voice Commands B Jayasekara, K Watanabe… – Information and Automation …, 2008 – ieeexplore.ieee.org … the player. A probabilistic neural network was used to implement it and used in positioning example [14]. In addition … the user. The interactive dialogue system is handled by the IM. The functional overview of the IM is shown in Fig. 3. It … Cited by 1 Related articles Cite Save

A flexible bio-affective gaming interface J Arroyo-Palacios, DM Romano – 2010 – staffwww.dcs.shef.ac.uk … the user. The best results were obtained with a probabilistic neural network with accuracy results of 84.46% on the training data and 78.38% on the validation for new independent data sets. 1.- INTRODUCTION Physiological … Cited by 1 Related articles Cite Save More

Age Group Estimation based on Acoustic Analysis of Speech DK Yadav, K Malhotra, A Khosl – 2010 – desceco.org … Two approaches based on Gaussian Mixture Models (GMM) and Probabilistic Neural Networks (PNN) were tried. … On the other hand, most of the present day spoken dialogue systems deal with different users in similar fashion in spite of the fact that most of the users have … Related articles Cite Save More

[BOOK] Artificial Intelligence: Theories, Models and Applications 7th Hellenic Conference on AI, SETN 2012, Lamia, Greece, May 28-31, 2012, Proceedings I Maglogiannis, V Plagianakos, I Vlahavas – 2012 – dl.acm.org All 2 versions Cite Save

A novel MFCC approach for Speaker Identification using BPNN K Dash, S Sahu, BD Panda – rspublication.com … In Speaker verification integrated within a dialog system, if biometric authentication is desired in combination with a dialog system that performs automatic speech recognition, a third kind of Page 9. … “Generalized locally recurrent probabilistic neural networks with … Related articles Cite Save

Theories and Applications IMV Plagianakos, I Vlahavas – 2012 – Springer … and George Tsatsaronis Parallelism, Localization and Chain Gradient Tuning Combinations for Fast Scalable Probabilistic Neural Networks in Data … and Ilias Maglogiannis Special Session: Intelligent, Affective, and Natural Interfaces An Adaptive Dialogue System with Online … Cite Save

Fuzzy logic and neural network based gender classification using three features K Meena, KR Subramaniam, M Gomathy – International Journal of …, 2014 – Inderscience … Using Sequential Floating Forward Selection (SFFS) for feature selection, Probabilistic Neural Networks (PNNs), Support Vector Machines (SVMs), the K nearest neighbour (K-NN) and Gaussian Mixture Model (GMM), as different … For achieving high-quality dialogue systems. … Cite Save

Speech & Language R & D Activity at the Wire Communications Laboratory G Kokkinakis – wcl.ece.upatras.gr … of moving speakers, text dependent and independent speaker recognition, speech coding and most recently to dialog systems over the … Recently a text-independent speaker verification system, the WCL-1 was developed, based on Probabilistic Neural Networks (PNN) [37, 38 … Related articles Cite Save More

Established Methods L Baghai-Ravary, SW Beet – Automatic Speech Signal Analysis for Clinical …, 2013 – Springer … science, vol 4188, pp 589–596. Hariharan M, Paulraj MP, Yaacob S (2010) Time-domain features and probabilistic neural network for the … Accessed 16 Feb 2012. Reilly RB, Moran R, Lacy PD (2004) Voice pathology assessment based on a dialogue system and speech analysis. … Related articles All 2 versions Cite Save

Vision based Traffic Police Hand Signal Recognition in Surveillance Video-A Survey. R Sathya, MK Geetha – International Journal of Computer …, 2013 – search.ebscohost.com … network. BPNN structure is input layer, Hidden layer and output layer. Probabilistic neural network (PNN) is a feed- forward neural network that implements a Bayesian decision strat- egy for classifying input vectors. Artificial … Related articles All 2 versions Cite Save

EMSys: An Emotion Monitoring System for Call Center Agents PFO Boco, DKB Tercias, KRD Cruz, CR Raquel… – Citeseer … [3] L. Cen, W. Ser, Z. Yu, Speech Emotion Recognition Using Canonical Correlation Analysis and Probabilistic Neural Network, Seventh International … [15] J. Pittermann, A. Pittermann, Integrating Emotion Recognition into an Adaptive Spoken Language Dialogue System, Dept. … Related articles Cite Save More

A Natural Language Model of Computing with Words in Web Pages Z Ze-yu, Z Ping – aclweb.org … Fig. 1. Components of the mixed initiative dialogue system in Internet 2 Language for Research in Web Pages … In reality, there are many significant computational models such as probabilistic neural networks, residuated lattice-valued automata, quantum automata. … Related articles All 7 versions Cite Save More

A New Fangled Insinuation for Stress Affect Speech Classification NMTSCP Sumathi – 2010 – core.kmi.open.ac.uk … Keywords Affect Recognition, Speech analysis, Support vector machine (SVM), Probabilistic Neural Network(PNN), Hidden Markov Model(HMM). … The features are fed into a five state Hidden Markov mathematical Model(HMM) and a Probabilistic Neural Network(PNN). … Related articles All 3 versions Cite Save More

State of Research of Speech Recognition M Sarma, KK Sarma – … -Based Speech Segmentation using Hybrid Soft …, 2014 – Springer … 15. A work in 2005 reported by Yousefian and Analoui presents an approach to check the applicability of a special model of radial basis probabilistic neural networks (RBPNN) as a classifier for speech recognition. … [ 69 ] where a spoken dialog system is designed to use in … Cite Save

A literature review on artificial intelligence SA Oke – International Journal of Information and Management …, 2008 – ijims.ms.tku.edu.tw … dialogue policy, which address the technical challenges in applying reinforcement learn- ing to a working dialogue system with human users was presented (Singh et al., 2002). Page 14. i … perimental spoken dialogue system that provides users with access to information about … Cited by 4 Related articles All 2 versions Cite Save More

Noise Robustness Of First Formant Bandwidth (F1Bw) Features In Malay Vowel Recognition. M Yusuf, S Azmi, NI Mahat, F Siraj… – Journal of Information …, 2012 – search.ebscohost.com … an experiment on 200 vowel signals using the wavelet de-noising approach and the Probabilistic Neural Network Model. … IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems. … Related articles Cite Save

Speaker recognition TD Ganchev – 2005 – wcl.ece.upatras.gr … 29 2.7. Characterization of the Probabilistic Neural Network …………… 32 2.8. … 118 5.5. Summary and discussion …………… 123 Chapter 6: Extensions of the Probabilistic Neural Network …………… 125 6.1. … Cited by 24 Related articles All 6 versions Cite Save More

Technology and Implementation L Baghai-Ravary, SW Beet – Automatic Speech Signal Analysis for Clinical …, 2013 – Springer … Med Eng Phys 24:419–429CrossRef. Hariharan M, Paulraj MP, Yaacob S (2010) Time-domain features and probabilistic neural network for the … PHONUS 3:143–153. Reilly RB, Moran R, Lacy PD (2004) Voice pathology assessment based on a dialogue system and speech … Related articles All 2 versions Cite Save

Hybrid Approach to Speech–Emotion Recognition J Pittermann, A Pittermann, W Minker – Handling Emotions in Human- …, 2010 – Springer … A multi-layer perceptron and a probabilistic neural network are compared in Dan-Ning Jiang (2004) where recognition rates of up to 94% are achieved for six emotions with the probabilistic neural network based on acoustic features. … Related articles All 2 versions Cite Save

A Software Testbed for Assessing Human-Robot Verbal Interaction H Bouraoui – 2010 – uwspace.uwaterloo.ca … However, the language usages of many of them were simple and may not be considered as full speech dialogue systems providing natural language understanding. … systems relies on using simple speech commands and may not be considered as full speech dialogue systems. … Related articles All 3 versions Cite Save

Robotic Forceps Operated by Voice Instructions in Fuzzy Coach-Player System K Izumi, K Watanabe, S Ishii… – ????????? ?? …, 2007 – isis2007.fuzzy.or.kr … J. Fry, F. Asano, Y. Motomura, I. Hara, T. Kurita, S. Hayamizu, and N. Yamasaki, “A speech dialogue system of the … C. Jayawardena, K. Watanabe, and K. Izumi, “Controlling a robot manipulator with fuzzy voice commands using a probabilistic neural network,” Neural Computing … Related articles All 3 versions Cite Save More

[BOOK] Automatic Speech Signal Analysis for Clinical Diagnosis and Assessment of Speech Disorders L Baghai-Ravary, SW Beet – 2012 – books.google.com … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, con- temporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Cited by 2 Related articles All 4 versions Cite Save

SpringerBriefs in Electrical and Computer Engineering Speech Technology A Neustein – Springer … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, con- temporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Related articles Cite Save

PRESTK: situation-aware presentation of messages and infotainment content for drivers C Endres – 2013 – scidok.sulb.uni-saarland.de Page 1. PRESTK: Situation-Aware Presentation of Messages and Infotainment Content for Drivers Dissertation zur Erlangung des Grades Doktor der Ingenieurwissenschaften (Dr.-Ing.) der Naturwissenschaftlich-Technischen Fakultät I der Universität des Saarlandes … Cited by 3 Related articles All 2 versions Cite Save

Short-term Time Series in Automatic Speech Processing R Timofte – 2007 – cs.joensuu.fi Page 1. Short-term Time Series in Automatic Speech Processing Radu Timofte MASTER’S THESIS University of Joensuu Department of Computer Science and Statistics PO Box 111, FIN-80101 Joensuu, Finland October 31, 2007 Page 2. ii Table of Contents … Related articles All 6 versions Cite Save More