MATLAB & Dialog Systems 2013


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100 Best MATLAB Videos | MATLAB & Dialog Systems 2011 | MATLAB & Dialog Systems 2012 | MATLAB & Dialog Systems 2014


[BOOK] Estimating spoken dialog system quality with user models KP Engelbrecht – 2013 – Springer … Preface Spoken Dialog Systems (SDS) became popular in the past years for telephone-based services such as database queries (eg, bus information), banking, or troubleshooting (eg, Internet equipment). … Analysis of a New Simulation Approach to Dialogue System Evaluation. … Cited by 9 Related articles All 7 versions Cite Save

Dialogue Act Recognition from Audio and Transcription of Human-Human Conversations N Ramachandran – ijcttjournal.org … utterance. II. RELATED WORK Because of the importance of dialogue act classification within dialogue systems, it has been an active area of research for some time. Early … format. The algorithms were implemented using MATLAB. The … Related articles All 2 versions Cite Save More

Speech Recognition for Robotic Control SD Gosavi, UP Khot, S Shah – Citeseer … which the system is the sole initiator of a dialog, requesting information from the user via verbal input; • Natural dialogue systems: In which … This paper Of Speech Recognition for Robotic Control shown in “Figure 1”, basically works on the principle of voice control through matlab. … Cite Save More

Speech Corpora as Facilities of Creation and Storage of Exemplary Speech Signals AM Prodeus – Research Bulletin of NTUU” Kyiv Polytechnic Institute”, 2013 – bulletin.kpi.ua … ????.-????. ????. – ????, 2012. – ?. 308–313. 2. S. Moller, Quality of Telephone-Based Spoken Dialogue Systems. … 12, 24 p., 2011. 22. VoiceBox: Speech Processing Toolbox for MATLAB [Online]. Available: http://www. ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html#file. … Related articles Cite Save More

Phone classification using HMM/SVM system and normalization technique MS Yakoub, R Nkambou… – Signal Processing and …, 2013 – ieeexplore.ieee.org … Therefore, our experiments result encouraged us to use this hybrid system and normalization technique for the next work in the context of spoken dialogue system. … A. Experiments setup Experiments were conducted on the TIMIT database using Matlab, HTK and LibSVM. … Cite Save

Towards Speaker Detection using FaceAPI Facial Movements in Human-Machine Multiparty Dialogue F Haider – nada.kth.se … 37 Bibliography 39 iii Page 8. Page 9. Chapter 1 Introduction Building a conversational system that is able to carry out dialogue with multi- ple humans (a multiparty dialogue system) brings about several complexities compared to a dyadic human-machine dialogue. … Related articles All 3 versions Cite Save More

Improvements in Czech Expressive Speech Synthesis in Limited Domain M Gr?ber, J Matoušek – Speech and Computer, 2013 – Springer … 6231, pp. 283–290. Springer, Heidelberg (2010) 9. Gruber, M., Tihelka, D.: Expressive speech synthesis for Czech limited domain dialogue system – basic experiments. … A MATLAB file (2006) (online; cited Oc- tober 29, 2012) 17. Wilks, SS: Multivariate statistical outlier. … Related articles All 3 versions Cite Save

KWSnet Computer Science Index KW Smith – 2013 – kwsnet.com … Specific interests include vector space models, dialogue systems, unsupervised grammar induction, robotics, and intelligent tutoring systems … Mathtools – Technical computing portal for scientific and engineering needs: Matlab, Excel, C++, C, Java, Toolbox, mfile, m-files, MATLAB … All 2 versions Cite Save More

A Phrase Recognition System Intended for Musical Applications F Espic – felipeespic.co.nf … The audio file is saved and a MATLAB script is executed to apply the following steps. The Signal Detector and The Feature Extraction processes were described before. … [3] Schukat-Talamazzini EG, Kuhn T., Niemann H., “Speech recognition for spoken dialog systems”, in De … Related articles All 2 versions Cite Save More

Research of Pre-Processing about Uyghur in Southern Xinjiang for Speech Recognition W Gang, L Fuyong – Computational and Information Sciences ( …, 2013 – ieeexplore.ieee.org … by the combination of short-time average magnitude and short-time zero crossing rate as well as used Matlab simulation experiment … been of great significance to strengthen the national cultural communication, research and develop the man-machine dialogue system of Uyghur … Related articles Cite Save

Application of Prediction Models in a Realistic Usage Scenario KP Engelbrecht – Estimating Spoken Dialog System Quality with User …, 2013 – Springer … Spoken Dialog System Quality with User Models201310.1007/978-3-642-31591-6_6© Springer-Verlag Berlin Heidelberg 2013. … Then, a forward selection procedure (built-in Matlab function) is used to determine a locally optimal predictor set given the two training databases. … All 2 versions Cite Save

Speech emotion recognition approaches in human computer interaction S Ramakrishnan, IMM El Emary – Telecommunication Systems, 2013 – Springer … We have used software namely openSMILE and Praat for extraction of features and Matlab for performing the classification. Figure 4 illustrates ability of arousal-valance dimension in discriminating the emotional state. … 5.5 Prosody in dialog system … Cited by 7 Related articles All 5 versions Cite Save

Detection of Usability Problems Using an Ad-Hoc User Simulation KP Engelbrecht – Estimating Spoken Dialog System Quality with User …, 2013 – Springer … The task model can for example be stored in a Matlab structure array, which allows indexing by attribute name (Fig. 4.1). … However, some general knowledge about user behavior towards dialog systems could be incorporated and led to improved performance of the method in … All 2 versions Cite Save

Mint. tools: Tools and adaptors supporting acquisition, annotation and analysis of multimodal corpora S Kousidis, T Pfeiffer… – Proceedings of Interspeech …, 2013 – pub.uni-bielefeld.de … 1The mintLab is jointly run by the Phonetics and Phonology Group (Wagner et al.) and the Dialogue Systems Group (Schlangen et al.) at the Faculty of … skills on the part of the experimenter/analyst, which is however the case also for other popular solutions, such as Matlab … Cited by 4 Related articles All 3 versions Cite Save More

Efficient Speech Recognition Using Correlation Method M Raheja, A Oberoi, M Oberoi – euroasiapub.org … 142 http://www.euroasiapub.org 3. RESULT 3.1 Analysis of results The proposed algorithm is implemented in MATLAB environment. Firstly Uttered words are recorded. Then sampled at the rate of 16000 Per second, and save it as the wav file. Finally … Related articles Cite Save More

Identifying salient sub-utterance emotion dynamics using flexible units and estimates of affective flow EM Provost – … , Speech and Signal Processing (ICASSP), 2013 …, 2013 – ieeexplore.ieee.org … Context has also been studied in dialogue systems [7]. Further, variations of dynam- ics have been attributed to changes in emotion … reduced using the Wilcoxon test, a nonparametric test that compares the centers of two populations (implemented using rank- features in Matlab). … Related articles All 3 versions Cite Save

Generic Data Processing & Analysis Architecture of a Personal Health System to Manage Daily Interactive Sessions in Patients with Major Depression AB Guardado – 2013 – personales.upv.es … Partner Rol 1 Edinburgh’s School of Informatics was involved on: Coordination of the Project, clinical expertise, and dialogue systems 2 Universitat Politècnica de València was involved on: Data Processing and Analysis Module of the PHS … Related articles Cite Save More

Integrating explicit problem-solving teaching into activemath, an intelligent tutoring system D Pholo, S Ngwira – Adaptive Science and Technology (ICAST), …, 2013 – ieeexplore.ieee.org … The Matlab module was fed in data collected using the questionnaire and the students’ pass symbols. … [16] CP Rosé, K. Vanlehn, K and Natural language tutoring group, “Is human tutoring always more effective than reading?: implications for tutorial dialogue systems,” in 11th … Related articles Cite Save

Interaction Modeling and Platform Development A Schmitt, W Minker – Towards Adaptive Spoken Dialog Systems, 2013 – Springer … A. Schmitt and W. Minker, Towards Adaptive Spoken Dialog Systems, 63 … This explains the large number of short dialogs. The remain- ing calls are subject to automated troubleshooting by the dialog system and exhibit frequently durations of 10 min and more. Page 3. … Cite Save

Comparison of MFCC and DWT features for automatic speech recognition of Urdu H Ali, X Zhou, S Tie – Cyberspace Technology (CCT 2013), …, 2013 – ieeexplore.ieee.org … Mao Jiaju, Chen Qiulin, Gao Feng, Guo Rong, and Lu Ruzhan, “SHTQS: A telephone-based Chinese spoken dialogue system,” Journal of … [11] SK Hasnain and MS Awan, “Recognizing spoken Urdu numbers using fourier descriptor and neural networks with Matlab ,” in Second … Cite Save

Designing engagement-aware agents for multiparty conversations Q Xu, L Li, G Wang – Proceedings of the SIGCHI Conference on Human …, 2013 – dl.acm.org … We adopted the Matlab LIBSVM toolbox (www.csie.ntu.edu.tw/~cjlin/libsvm/) and used the leave-one-out cross-validation to test the system performance, ie, data from four experiment sessions was used for training and that from the remaining session was used for validation. … Related articles All 2 versions Cite Save

Malayalam Consonant-Vowel Recognition based on Audio and Visual Geometric Features and ANN RK Sunil Kumar, VL Lajish – 2013 – csidl.org … Here the Artificial Neural Networks (ANN) implemented using MATLAB 7. The zero crossing interval distribution is implemented using C … required to explore the use of computationally simple time domain parameters so as to ensure improved human machine dialogue systems. … Related articles Cite Save

Speech Emotion Recognition: A Review RB Lanjewar, DS Chaudhari – ijitee.org … This can also be used in the spoken dialogue system eg at call centre applications where the support staff can handle the … At the other hand the signal processing tools like MATLAB and pattern recognition researcher?s community developed the variety of algorithms (eg HMM … Related articles All 2 versions Cite Save More

Comparative Analysis Of Speech Emotion Recognition System Using Different Classifiers On Berlin Emotional Speech … RB LANJEWAR, DS CHAUDHARI – tjprc.org … the spoken dialogue system eg at call centre applications where the support staff can handle the conversation in a more … At the other hand the signal processing tools like MATLAB and pattern recognition researcher’s community developed the variety of algorithms (eg GMM, K … Related articles All 2 versions Cite Save More

An Effective Tamil Speech Word Recognition Technique with Aid of MFCC and HMM (Hidden Markov Model). S Rojathai, M Venkatesulu – International Review on …, 2013 – search.ebscohost.com … Sebastian Fleissner et al. [13] have presented speech recognition histories and acoustic classification. This has been done as a means for allowing adaptation to non- native speech in spoken language dialogue systems. In … Related articles Cite Save

Kinect Development Kit: A Toolkit for Gesture-and Speech-Based Human-Machine Interaction [Best of the Web] I Tashev – Signal Processing Magazine, IEEE, 2013 – ieeexplore.ieee.org … Overall, the microphone array, audio processing pipeline, and speech recognizer allow the creation of hands- free speech-enabled dialog systems. … The KDK also contains Kinect Bridge code samples for interaction with OpenCV and MATLAB. … Cited by 1 All 2 versions Cite Save

EEG-based recognition of video-induced emotions: Selecting subject-independent feature set J Kortelainen, T Seppanen – Engineering in Medicine and …, 2013 – ieeexplore.ieee.org … of EEG signals as well as the data analysis presented in this paper was carried out using the Matlab technical computing … P. Schaich, and J. Williams, “Emotion recognition using bio-sensors: first steps towards an automatic system,” in Affective Dialogue Systems, Tutorial and … Related articles All 3 versions Cite Save

[BOOK] Interactive systems and affective science: Uses of player mood modelling in interactive drama presentation S Mayr – 2013 – core.kmi.open.ac.uk Page 1. MASTERARBEIT Titel der Masterarbeit “Interactive systems and affective science: Uses of player mood modelling in interactive drama presentation” Verfasser Simon Mayr angestrebter akademischer Grad Master of Science (MSc) Wien, 2012 Studienkennzahl lt. … Related articles Cite Save More

A generic telemedicine infrastructure for monitoring an artificial pancreas trial D Capozzi, G Lanzola – Computer methods and programs in biomedicine, 2013 – Elsevier … The UCSB platform is able to integrate controllers implemented in different programming environments, such as C and C++ or even MatLab ® by exposing a suitable set of Application Programming Interfaces. For the AP@home … Cited by 5 Related articles All 7 versions Cite Save

BCI Integration: Application Interfaces C Hintermüller, C Kapeller, G Edlinger, C Guger – 2013 – cdn.intechopen.com … such as the P300 speller distributed by g.tec medical engi? neering along with the g.HIGHsys, a Highspeed Online Processing block set [18] for Matlab/ Simulink™ (Mathworks … A so called dialog manager ensures that the dialog system can be controlled in a reasonable way. … Related articles All 2 versions Cite Save More

Quality estimation of synthesized speech transmitted over IP channel using genetic programming approach M Mrvova, P Pocta – Digital Technologies (DT), 2013 …, 2013 – ieeexplore.ieee.org … For the computational purpose, GPlab (Matlab toolbox for genetic programming developed by Sara Silva [14]) was used in this research. … [3] S. Moeller, “Quality of telephone-based spoken dialogue systems,” Springer, New York (USA), 2005, ISBN 0-387-23190-0. [4] JR Koza … Related articles Cite Save

Multimodal Emotion Recognition C Grubb – 2013 – engineering.union.edu … A study that introduced a Companion system, which would serve as a dialogue system to a user and offer input or feedback based on what it … We explored an API called matlabcontrol, which is designed to connect to MATLAB from within a Java 8 Page 11. … Related articles Cite Save More

Prediction of Visual Backchannels in the Absence of Visual Context Using Mutual Influence D Ozkan, LP Morency – Intelligent Virtual Agents, 2013 – Springer … backchannel. The training of all CRFs and LDCRFs were done using the hCRF library2. The LMDE model was implemented in Matlab based on the hCRF library. The input observations were computed at 30 frames per second. … Related articles All 3 versions Cite Save

Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements I Siegert, R Böck, A Wendemuth – Journal on Multimodal User Interfaces, 2013 – Springer … By using them ? remains fully comparable. Another advantage of ? is its greater reliability utilizing two or more coders and its robustness dealing with incom- plete data [36]. We use the MATLAB-macro kriAlpha.m to measure the IRR as used in the publication [19]. … Related articles Cite Save

CP8004 Parallel Algorithms LTPC Bit Computations – … , CHENNAI 600 025 REGULATIONS-2013 ME … – annauniv.edu Page 22. 22 CP8004 PARALLEL ALGORITHMS LTPC 3 0 0 3 OBJECTIVES: ? To learn parallel algorithms development techniques for shared memory and DCM models. ? To study the main classes of fundamental parallel algorithms. … Cite Save More

Learning Macro Actions from Instructional Videos Through Integration of Multiple Modalities DO Johnson, A Agah – International Journal of Social Robotics, 2013 – Springer … Toptsis et al. proposed a multi-modal dialog system for a mobile robot called BIRON (Bielefeld Robot Companion) [47] developed under the auspices of the COG- NIRON project [2]. In another COGNIRON project, Green et al. … Related articles All 4 versions Cite Save

On acoustic emotion recognition: compensating for covariate shift A Hassan, R Damper, M Niranjan – 2013 – ieeexplore.ieee.org … optimisation problem as: min ? 1 2 ?T ˆH? ? hT ? subject to ? ? 0 (9) This is a quadratic optimisation problem that can be easily solved using Matlab’s Optimisation Toolbox or similar software. To obtain an unconstrained formulation of the above problem, Kanamori et al. … Cited by 6 Related articles All 3 versions Cite Save

Classification of Human Emotions from Physiological signals using Machine Learning Algorithms EH Jang, BJ Park, SH Kim, M Chung… – ACHI 2013, The Sixth …, 2013 – thinkmind.org … We have used the Classification Toolbox of MATLAB for Decision tree and Duda’s Toolbox, see www.yom-tov.info/toolbox.html … P. Schaich, J. Williams, “Emotion recognition using bio-sensors: First step towards an automatic system,” in Affective Dialogue Systems Tutorial and … Cited by 2 Related articles Cite Save

Gender Classification in Speech Recognition using Fuzzy Logic and Neural Network. K Meena, K Subramaniam… – … Arab Journal of …, 2013 – search.ebscohost.com … Automatic assessment of speaker’s gender by her/his voice has been an important aspect for achieving high-quality dialogue systems. … This proposed technique was implemented in MATLAB 7.10 and is tested for different speech signals from Harvard-Haskins database [24]. … Cited by 4 Related articles All 9 versions Cite Save

Improved heuristic equivalent search algorithm based on Maximal Information Coefficient for Bayesian Network Structure Learning Y Zhang, W Zhang, Y Xie – Neurocomputing, 2013 – Elsevier … BN is the powerful knowledge representation and reasoning tool under conditions of uncertainty [2]. It is widely applied to a great variety of domains such as medical diagnosis [3], natural spoken dialog system [4], vision recognition, expert system [5], device fault diagnosis [6 … Cited by 2 Related articles All 3 versions Cite Save

Speaker-independent speech emotion recognition by fusion of functional and accompanying paralanguage features Q Mao, X Zhao, Z Huang, Y Zhan – Journal of Zhejiang University …, 2013 – Springer … 5 Experimental Since Matlab facilitates the processing of the digital signal, and Visual Studio (VS) facilitates the processing cycle and other operations, we adopt the mixed programming of Matlab 7.0 and VS 2005, which can improve the system performance. … Cited by 1 Related articles All 6 versions Cite Save

Latent mixture of discriminative experts D Ozkan, LP Morency – Multimedia, IEEE Transactions on, 2013 – ieeexplore.ieee.org Page 1. Copyright (c) 2011 IEEE. Personal use is permitted. For any other purposes, permission must be obtained from the IEEE by emailing pubs-permissions@ieee.org. This article has been accepted for publication in a future issue of this journal, but has not been fully edited. … Cited by 4 Related articles All 5 versions Cite Save

A Bayesian Classifier Learning Algorithm Based on Optimization Model S Liu, M Zhu, Y Yang – Mathematical Problems in Engineering, 2013 – hindawi.com … Moreover, it has been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, medical diagnosis, genetic regulatory network inference, and so forth [1–8]. Naive Bayes (NB) [9–11] is a simple and effective classification model. … Related articles All 2 versions Cite Save More

Integrated Models for Information Communication Systems and Networks: Design and Development AA Atayero, OI Sheluhin – 2013 – eprints.covenantuniversity.edu.ng … Journal of Technical Phys- ics, 76(4), 91–98. Bolu, CA (2011). Curve fitting breakdown distribu- tion of a 4-high aluminium rolling mills, Ota, Nigeria using MATLAB. (Unpublished Report).Department of Mechanical Engineering, Covenant University, Lagos, Nigeria. … Related articles All 6 versions Cite Save

Principles of Modeling in Information Communication Systems and Networks O Sheluhin, AA Atayero – 2013 – eprints.covenantuniversity.edu.ng … Journal of Technical Phys- ics, 76(4), 91–98. Bolu, CA (2011). Curve fitting breakdown distribu- tion of a 4-high aluminium rolling mills, Ota, Nigeria using MATLAB. (Unpublished Report).Department of Mechanical Engineering, Covenant University, Lagos, Nigeria. … All 3 versions Cite Save

Software And Data Infrastructure For Vehicle Project HP Le – 2013 – cs.anu.edu.au … activity Software provided together with sensors Matlab toolboxes GSR GSR sensor Skin’s electrical conductance Gesture and … images of subject driver Body’s position Body’s movement Matlab image processing toolbox Facial Expression Normal webcam, camera capture … Related articles All 2 versions Cite Save More

A Comparison of Evaluation Measures for Emotion Recognition in Dimensional Space R Jenke, A Peer, M Buss – Affective Computing and Intelligent …, 2013 – ieeexplore.ieee.org … with the help of the In- dependent Component Analysis (ICA) based plug-in ADJUST [17] for the MATLAB Toolbox EEGLAB … P. Schaich, and J. Williams, “Emotion recognition using bio-sensors: First steps towards an automatic system,” in Affective Dialogue Systems, 2004, pp. … Related articles All 4 versions Cite Save

Implementation of two variants of the Mixelgram algorithm to perform Audio-Visual Speaker Association P Klaosen – 2013 – wiki.csem.flinders.edu.au … functions and was ran on each video twice to increase reliability of data. Analysis on the results was conducing using an ANOVA (Analysis of Variance) using matlab and Bonferroni corrected post-hoc comparisons made as necessary. … Cite Save More

Emotion recognition improvement using normalized formant supplementary features by hybrid of DTW-MLP-GMM model D Gharavian, M Sheikhan, F Ashoftedel – Neural Computing and …, 2013 – Springer … RP) algorithm is used for training and the performance index is set to 0.01, when using neural network toolbox of MATLAB software in our … pp 340–343. 7. López-Cózar R, Silovsky J, Kroul M (2011) Enhancement of emotion detection in spoken dialogue systems by combining … Cited by 3 Related articles All 4 versions Cite Save

Human and computer recognition of regional accents and ethnic groups from British English speech A Hanani, MJ Russell, MJ Carey – Computer Speech & Language, 2013 – Elsevier … et al., 2010), automatic accent recognition could also be used to select appropriately accented synthetic speech in the context of an interactive dialogue system. … All of the SVM models in this paper were trained and evaluated using the SVM-KM SVM MATLAB toolbox (Canu et al … Cited by 12 Related articles All 7 versions Cite Save

Music from Bio-Signals N Rose – wiki.csem.flinders.edu.au … 10 2.3.4 MatLab….. 10 … 2.3.4 MatLab MatLab is a programme which is used for data processing in a number of fields including signal and image processing. … Cite Save More

Affect Detection and Classification from the Non-stationary Physiological Data O Alzoubi, D Fossati, S D’mello… – Machine Learning and …, 2013 – ieeexplore.ieee.org … RP Duin, D. d. Ridder, and DM Tax, Classification, parameter estimation and state estimation – an engineering approach using Matlab. … and J. Williams, “Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System,” in Affective Dialogue Systems, ed, 2004 … Cite Save

Classification of Finger Movements for the Dexterous Hand Prosthesis Control with Surface Electromyography A Al-Timemy, G Bugmann, J Escudero, N Outram – 2013 – ieeexplore.ieee.org … B. Data Processing Experiments To address the research questions, three numerical experiments were designed as described in sections II.B1, II.B2 and II.B3. The MATLAB® 2010a (Mathworks, USA) software was used for numerical processing. … Cited by 8 Related articles All 4 versions Cite Save

Learning how to increase the chance of human-robot engagement DG Macharet, DA Florencio – Intelligent Robots and Systems ( …, 2013 – ieeexplore.ieee.org … The simulator was implemented using Matlab and all experiments were executed in a PC with an Intel Xeon 3.60 GHz processor, 8 Gb of RAM, and a 64-bit Windows OS. … [3] D. Bohus and E. Horvitz, “Learning to predict engagement with a spoken dialog system in open-world … Related articles Cite Save

An Introduction to Audio and Visual Research and Applications in Marketing L Xiao, H Kim, M Ding – Review of Marketing Research, 2013 – emeraldinsight.com … Depending on the task at hand, digital signal processing applications can be run on general purpose computers using specialized software, more general software such as MATLAB with an appropriate toolbox (ie, digital signal processing toolbox), or with embedded processors … Related articles All 3 versions Cite Save

Toward Exploiting EEG Input in a Reading Tutor K Chang, J Nelson, U Pant, J Mostow – International Journal of Artificial …, 2013 – IOS Press … The Reading Tutor and MindSet log signals at different time scales, so we performed linear interpolation between successive EEG values (using Matlab’s built-in “interp1” function) to estimate their values at the points timestamped by the Reading Tutor. … Cited by 1 Related articles All 6 versions Cite Save

On the Development of Speech Resources for the Mixtec Language SO Caballero-Morales – The Scientific World Journal, 2013 – hindawi.com … speakers (the target users). 1. Introduction. Research on spoken language technology has led to the development of automatic speech recognition (ASR), Text-to-Speech (TTS) synthesis, and dialogue systems. These systems are … Cited by 1 Related articles All 6 versions Cite Save More

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors F Zhou, X Qu, JR Jiao… – Interacting with …, 2013 – iwc.oxfordjournals.org … side. Then, SCR was smoothed and log-transformed [log(SCR+1)] to normalize the distribution of the response (Lang et al., 1993). Four temporal features of SCR were computed using Matlab R2008b as follows (see Fig. 2): … Cited by 1 Related articles Cite Save

A fuzzy psycho-physiological approach to enable the understanding of an engineer’s affect status during CAD activities Y Liu, JM Ritchie, T Lim, Z Kosmadoudi… – Computer-Aided …, 2013 – Elsevier Affective computing involves human–computer interaction (HCI) where an interface can detect and respond in context to a user’s emotions. Emotions play an es. Related articles All 2 versions Cite Save

Semantic Change Computation: A Successive Approach X Tang, W Qu, X Chen – Behavior and Social Computing, 2013 – Springer … services, including those basic tasks such as syntactic parsing and word sense dis- ambiguation, and higher level applications such as automatic translation and dialogue systems, need access to … Other tools for curve-fitting can be found in package scipy.optimize or Matlab etc. … Related articles All 3 versions Cite Save

Speech-Based Human and Service Robot Interaction: An Application for Mexican Dysarthric People. SO Caballero Morales, GB Enríquez… – … Journal of Advanced …, 2013 – search.ebscohost.com … of words, added to the system. 3.2 The Speech Interface The speech interface was programmed in Matlab© 2008 with the GUIDE toolkit. In Figure 7 the starting window of the interface is shown. By pressing each button the user … Related articles All 4 versions Cite Save

Speech Recognition Technology: A Survey on Indian Languages G Hemakumar, P Punitha – ijisis.org Page 1. International Journal of Information Science and Intelligent System, Vol. 2, No.4, 2013 Speech Recognition Technology: A Survey on Indian Languages Hemakumar G. 1, ? , Punitha P. 2 1Department of Computer Science … Related articles All 2 versions Cite Save More

Dimensionality reduction-based spoken emotion recognition S Zhang, X Zhao – Multimedia tools and applications, 2013 – Springer … emotion recognition tasks at hand. For instance, only two types of emotions: negative vs. non-negative, are recognized in an automatic call center dialog system [40]. 2.2 Emotion recognition Most existing emotion recognition … Cited by 1 Related articles All 7 versions Cite Save

Human desire inference process and analysis J Dong – 2013 – lib.dr.iastate.edu … need. In the READY system[24], the authors use Dynamic Bayesian Networks (DBNs) in a dialog system to adjust the policy in providing instructions, based on the recognized time pressure and cognitive load of the user from observations including filled pauses, disfluencies … Related articles Cite Save

Modeling of Packet Streaming Services in Information Communication Networks AA Atayero, YA Ivanov – 2013 – eprints.covenantuniversity.edu.ng … Journal of Technical Phys- ics, 76(4), 91–98. Bolu, CA (2011). Curve fitting breakdown distribu- tion of a 4-high aluminium rolling mills, Ota, Nigeria using MATLAB. (Unpublished Report).Department of Mechanical Engineering, Covenant University, Lagos, Nigeria. … All 3 versions Cite Save

ANFIS Modeling of Dynamic Load Balancing in LTE MK Luka, AA Atayero – 2013 – eprints.covenantuniversity.edu.ng … Journal of Technical Phys- ics, 76(4), 91–98. Bolu, CA (2011). Curve fitting breakdown distribu- tion of a 4-high aluminium rolling mills, Ota, Nigeria using MATLAB. (Unpublished Report).Department of Mechanical Engineering, Covenant University, Lagos, Nigeria. … All 3 versions Cite Save

Spatiotemporal Movement Planning and Rapid Adaptation for Manual Interaction M Huber, A Kupferberg, C Lenz, A Knoll, T Brandt… – PloS one, 2013 – dx.plos.org … returned to the starting position. Data Analysis. The data were analyzed in Matlab 7/8 (The Mathworks) and Statistica 6.1 (Statsoft). A Gaussian low-pass filter was used to filter the hand-position data. For data recorded with Polhemus … Cited by 1 Related articles All 12 versions Cite Save More

Perception of vowels and prosody by cochlear implant recipients in noise M Van Zyl, JJ Hanekom – Journal of communication disorders, 2013 – Elsevier The aim of the present study was to compare the ability of cochlear implant (CI) recipients to recognise speech prosody in the presence of speech-weighted noise. Related articles All 3 versions Cite Save

Project Periodic Report J Shawe-Taylor – 2013 – complacs.org … Strategic Impact The modern machine learning methods are sufficiently mature to address challenging control problems that arise in the context of intelligent cognitive systems, such as home robotics, swarm intelligence, smart human-machine interfaces and dialogue systems. … Related articles Cite Save More

Auditory inspired methods for localization of multiple concurrent speakers T Habib, H Romsdorfer – Computer Speech & Language, 2013 – Elsevier … acoustic enclosures. For various hands-free communication applications such as telephony and speech dialog systems, several sources need to be localized simultaneously in adverse acoustic environments with ambient noise. A … Related articles All 4 versions Cite Save

What and When Do Students Learn? JP González-Brenes – 2013 – lti.cs.cmu.edu … We leverage existing technologies to quickly implement a prototype of Dynamic Cognitive Tracing. We use the Bayesian Network Toolkit [Murphy, 2001] (BNT) for Matlab. As described in Section 2.1.1, the knowledge of a skill is dependent on its value on the previous time step. … Related articles All 2 versions Cite Save More

Fault-detection in Ambient Intelligence based on the modeling of physical effects. A Mohamed – 2013 – hal.archives-ouvertes.fr Page 1. N° d’ordre : 2013-23-TH SUPÉLEC ÉCOLE DOCTORALE STITS « Sciences et Technologies de l’Information, des Télécommunications et des Systèmes » THÈSE DE DOCTORAT DOMAINE : STIC Spécialité : Informatique Soutenue le 19 novembre 2013 par : … Cite Save

Automatic processing of irrelevant co-speech gestures with human but not robot actors CJ Hayes, CR Crowell, LD Riek – Proceedings of the 8th ACM/IEEE …, 2013 – dl.acm.org … 18]. All post-production was performed using iMovie. D. Main Experiment Apparati The application used in the main experiment was programmed in MATLAB using the Psychophysics Toolbox Version 3 (PTB-3) extension. PTB … Cited by 3 Related articles All 3 versions Cite Save

Election Data Visualisation E Long – 2013 – pearl.plymouth.ac.uk … 100 ….. 181 Figure 8.1: The Architecture of Web-based Dialogue System ….. 196 Figure 8.2: Diagram of Web-based Dialogue System Components Dependencies….. 197 Page 17. xv Figure … Cited by 1 Related articles All 8 versions Cite Save

Towards More Desirable Segmentation via User Interactions Y Zhu – 2013 – preserve.lehigh.edu Page 1. Lehigh University Lehigh Preserve Theses and Dissertations 1-1-2013 Towards More Desirable Segmentation via User Interactions Yaoyao Zhu Lehigh University Follow this and additional works at: http://preserve.lehigh.edu/etd … Related articles All 2 versions Cite Save

Glottal Spectral Separation for Speech Synthesis S Renals – 2013 – homepages.inf.ed.ac.uk … comparison with (5). In this work, an implementation of STRAIGHT (Matlab version V40 006b) was modified in order to divide the amplitude of the short-time speech spectrum S(w) by the amplitude spectrum of one period of the LF- model Ep(w). The spectral envelope of the … Cite Save More

HCI in Practice: Teaching Students to Prepare Interactive Mockups of a User Interface for Ticket Vending Machines M Wichrowski, A Wieczorkowska – ijitcs.com … device works, there should be provided with easily accessible assistance. Support may take the form of dialog system, information strips or additional help section where the user can find simplified instructions. Worth considering … Related articles All 4 versions Cite Save More

Tensor deep stacking networks B Hutchinson, L Deng, D Yu – Pattern Analysis and Machine …, 2013 – ieeexplore.ieee.org Page 1. Tensor Deep Stacking Networks Brian Hutchinson, Student Member, IEEE, Li Deng, Fellow, IEEE, and Dong Yu, Senior Member, IEEE Abstract—A novel deep architecture, the tensor deep stacking network (T-DSN), is presented. … Cited by 15 Related articles All 14 versions Cite Save