MATLAB & Dialog Systems 2014


Notes:

sEnglish stands for system English. It is a way to refer to MATLAB function calls using English sentences. You define the meaning of an English sentence in a .sep file which describes its meaning in purely English sentences or in a mix of English and MATLAB code.

  • sysbrain.org .. community website for users of natural language programming in sEnglish

See also:

100 Best MATLAB Videos | MATLAB & Dialog Systems 2011 | MATLAB & Dialog Systems 2012 | MATLAB & Dialog Systems 2013Statistical Packages & Dialog Systems


Electricity Consumption Prediction System for the Public Transportation S ILIEV, S POPOVA – wseas.org … In this paper a dialogue system for prediction of the electricity consumption of the public transport in a city, on the base of a neural network, is proposed. … Page 4. 6 Results The calculations are made in MATLAB environment. The neural network is trained with 26230 items. …

Integration of Knowledge-Based Approach in SHM Systems F Ansari, I Buethe, Y Niu, CP Fritzen, M Fathi – Transactions on …, 2014 – Springer … The knowledge engineer requires a dialogue system (user interface) to access the KB, and to modify (ongoing) rules in the form IF a(i) is A(i) AND b(i) is B(i) THEN C. Of course, there will not be always … L. /. UEI Los Alamos National Laboratories, SHM tools—a matlab toolbox 21. …

Ordinal Regression For Interaction Quality Prediction L El Asri, H Khouzaimi, R Laroche, O Pietquin – lifl.fr … users ratings will be designated as User Satisfaction (US) and experts ratings as Interaction Quality (IQ) [6]. Automatically predicting US or IQ is useful to keep track of a spoken dialogue system’s performance and … We used the GPML Matlab li- brary by Rasmussen and Nickisch3. … Cited by 1 Related articles

Speech Fingerprint to Identify Isolated Word-Person K Matrouk, A Al-Hasanat, H Alasha’ary… – World Applied Sciences …, 2014 – idosi.org … Finally, there are mid-size systems, on the order to 1000-3000 words, which are typical sizes for current research-based spoken dialogue systems. Some applications can make every restrictive assumption possible. … A matlab code and functions were built and … All 3 versions

Steps towards more natural humanmachine interaction via audio-visual word prominence detection M Heckmann – submitted to 2nd Workshop on Multimodal Analyses …, 2014 – arcor.de … Litman, D., Hirschberg, J., Swerts, M.: Characterizing and predicting corrections in spoken dialogue systems. Computational linguistics 32(3), 417–438 (2006) 28. … Ramsay, J.: Functions for functional data analysis in R, SPLUS and Matlab, http://www.psych.mcgill.ca/misc/fda/ 32. … Cited by 2

Novel Intelligent system for safe driving using CAN-bus International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS) www. iasir. net MS Salunkhe, RA Thorat – iasir.net … A simultaneous second goal is to better understand speech characteristics of the driver undergoing additional cognitive load since dialog systems are generally not formulated for high task-stress environment (eg, driving a vehicle). … However Matlab had some limitations. …

A Multi-source Knowledge Fusion Strategy to Improve Confidence Measure in a Lattice-based Spoken Term Detection System? X Gao, J Pan, Y Yan – joics.com … Speech Recognition technology (ASR) has been applied widely and permeated into almost all aspects of modern life, eg, Spoken Dialog Systems (SDS) [1 … we utilized the GPU (GTX660 with Intel Xe1230-v3 CPU, 3.5 GHz) to accelerate the training process in Matlab environment …

Low Complexity On-Line Adaptation Techniques in Context of Assamese Spoken Query System S Shahnawazuddin, KT Deepak, BD Sarma… – Journal of Signal …, 2014 – Springer Page 1. Low Complexity On-Line Adaptation Techniques in Context of Assamese Spoken Query System S. Shahnawazuddin & KT Deepak & BD Sarma & A. Deka & SRM Prasanna & Rohit Sinha Received: 11 March 2014 /Revised … Related articles

Research and simulation on speech recognition by Matlab L Pan – 2014 – diva-portal.org … is developing faster and faster. Recently, in the field of speech recognition, the direction of researching has focused on the spoken dialogue system and the embedded speech recognition system. … Page 8. Linlin Pan Research and simulation on speech recognition by Matlab 3 …

Experiments on front-end techniques and segmentation model for robust Indian Language speech recognizer R Sriranjani, BM Karthick… – … (NCC), 2014 Twentieth …, 2014 – ieeexplore.ieee.org … collection volunteers will travel to the site and collect data over the telephone by encour- aging the farmers to speak and answer to the spoken dialog system. … PNCC is implemented using the open source matlab code available in [16] while RASTA- PLP is implemented from [17 … Related articles

Real-Time Feedback System for Monitoring and Facilitating Discussions S Sarda, M Constable, J Dauwels, S Dauwels… – Natural Interaction with …, 2014 – Springer … (eds.), Natural Interaction with Robots, Knowbots and Smartphones: Putting Spoken Dialog Systems into Practice, DOI … Mike Brooks: VOICEBOX: Speech Processing Toolbox for MATLAB, Department of Electri- cal and Electronic Engineerng, Imperial College, London 16. … Cited by 3 Related articles All 13 versions

VLSI Design for SVM-Based Speaker Verification System JC Wang, LX Lian, YY Lin, JH Zhao – ieeexplore.ieee.org … design is expected to be used in the applications that require both the outputs of speech and speaker recognition, such as conversational spoken dialog systems and personal … V. IMPLEMENTATION RESULTS We built the speaker verification system using MATLAB software. …

Noise robust tamil speech word recognition system by means of PAC features with ANFIS S Rojathai, M Venkatesulu – Computer and Information Science …, 2014 – ieeexplore.ieee.org … features. IV. RESULTS AND DISCUSSION Our proposed Tamil speech word recognition system PAC is implemented in the working platform of MATLAB (version 7.12) with machine configuration as follows Machine Configuration …

Speech Emotion Recognition A Review and Related Terms E Garg, M Bahl – ijircce.com … 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 …

A decision support system for market-driven product positioning and design N Lei, SK Moon – Decision Support Systems, 2014 – Elsevier … The system combines the data integrity, security, reliability of a database with the unparalleled analytical capability of the Matlab tool suite through an intuitive GUI. This GUI allows users to explore and evaluate alternative scenarios during product development. …

Learning healthy habits with a mobile self-intervention J Vainio, I Korhonen, O Kenttä, J Järvinen… – Proceedings of the 8th …, 2014 – dl.acm.org … It presents ways to analyze the persuasion context (the intent, the event, and the strategy). The model’s design principles are divided into primary task, dialogue, system credibility, and social support categories. … Analyses were conducted in Matlab.. …

FEEL: A System for Frequent Event and Electrodermal Activity Labeling Y Ayzenberg, R Picard – 2014 – ieeexplore.ieee.org … An additional strength is the availability of NumPy [27] and SciPy [28] : open source packages for scientific computing with Python, rather then using a commercial data analysis product such as Matlab that provides comparable functionality. … Cited by 3 Related articles All 4 versions

The Impact of Word Alignment Accuracy on Audio-visual Word Prominence Detection M Heckmann, P Mikias… – … Communication; 11. ITG …, 2014 – ieeexplore.ieee.org … All steps for the FPCA were performed with the Matlab toolbox retrieved from [32]. … References [1] D. Litman, J. Hirschberg, and M. Swerts, “Characteriz- ing and predicting corrections in spoken dialogue systems,” Computational linguistics, vol. 32, no. 3, pp. 417–438, 2006. …

The Impact of Word Alignment Accuracy on Audio-visual Word Prominence Detection PM Martin Heckmann, D Kolossa – Channels – arcor.de … All steps for the FPCA were performed with the Matlab toolbox retrieved from [32]. … References [1] D. Litman, J. Hirschberg, and M. Swerts, “Characteriz- ing and predicting corrections in spoken dialogue systems,” Computational linguistics, vol. 32, no. 3, pp. 417–438, 2006. …

Generic data processing & analysis architecture of a personal health system to manage daily interactive sessions in patients with major depression A Bresó Guardado – 2014 – riunet.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 …

Romanian phonetic transcription dictionary for speeding up language technology development J Domokos, O Buza, G Toderean – Language Resources and Evaluation, 2014 – Springer … Network training was performed in Matlab environment, using Levenberg– Marquardt back-propagation (trainlm) training function, mse (mean squared normalized error) performance criterion and … Spontaneous speech recognition for Romanian in spoken dialogue systems. … Related articles

Measuring Student Engagement, Knowledge, and Perceptions of Climate Change in an Introductory Environmental Geology Course KS McNeal, JM Spry, R Mitra, JL Tipton – Journal of Geoscience …, 2014 – nagt-jge.org … The large dataset was then plotted, a second-order, 30-s Savitzky-Golay smoothing function was applied in MatLab (Version 2013b), and t-tests on aggregated data were performed in … In André, E., Dybkjær, L., Minker, W., and Heisterkamp, P., eds., Affective dialogue systems. …

A Security System by using Face and Speech Detection CS Patil, GN Dhoot – 2014 – inpressco.com … Practical applications of speech recognition and dialogue systems bring sometimes a requirement to synthesize or reconstruct the speech from the saved or transmitted MFCCs. … The GUI is created by using MATLAB software for face and speech. …

Learning When Serious: Psychophysiological Evaluation of a Technology-Enhanced Learning Game. B Cowley, M Fantato, C Jennett… – … Technology & Society, 2014 – perpus.ups.web.id … the TARGET platform aims to achieve learning: 1. By playing the scenario and observing the causal logic of the dialogue system, the learner … ECG signal was pre-processed using Ecglab toolbox for MATLAB (Carvalho, Da Rocha, Nascimento, Souza Neto, & Junqueira Jr, 2002 … Cited by 1 Related articles All 7 versions

A low complexity cluster model interpolation based on-line adaptation technique for spoken query systems S Shahnawazuddin, R Sinha – Chinese Spoken Language …, 2014 – ieeexplore.ieee.org … OMP-Box v-10 toolkit [18] is used for implementing OMP in Matlab. For the adaptation experiments, a dictionary A is created as explained in Section 2.1 . … 4, May 1995, pp. 2687–2690. [3] JR Glass, “Challanges for spoken dialogue systems,” in Proc. IEEE ASRU workshop, 1999. …

Vocal tract length estimation based on vowels using a database consisting of 385 speakers and a database with MRI-based vocal tract shape information H Kawahara, T Kitamura… – … Conference of the …, 2014 – mazsola.iit.uni-miskolc.hu … The text independent estima- tion procedure including preprocessing of the given input utter- ance is implemented using Matlab [30 … robustness is one of the further research, since the proposed method is potentially useful for age and gender iden- tification in dialogue systems. …

The SRI AVEC-2014 Evaluation System V Mitra, E Shriberg, M McLaren, A Kathol… – Proceedings of the 4th …, 2014 – sri.com Page 1. The SRI AVEC-2014 Evaluation System Vikramjit Mitra SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 vikramjit.mitra@sri.com Andreas Kathol SRI International 333 Ravenswood Ave. Menlo Park, CA 94025 andreas.kathol@sri.com …

Multichannel dereverberation and noise reduction for hands-free speech communication systems D Schmid – 2014 – www-brs.ub.ruhr-uni-bochum.de … 169 9.4 Matlab Simulink model of the ML-BENCH algorithm. . . . . … Speech dialog systems interact with the user by recog- nizing and interpreting the meaning of the received commands. … Cited by 1

Automatic music “listening” for automatic music performance: a grandpiano dynamics classifier D Di Carlo, A Roda – samp.dei.unipd.it … of Support Vector Machines”, Perception in Multimodal Dialogue Systems, Springer Berlin Heidelberg, Berlin, 2008. 6. Zwicker, E., Fastl, H.: “Psychoacoustics: Facts and models”, 2nd Edition, Springer- Verlag, Berlin, 1999. 7. Lartillot, O., Toiviainen, P.: “MIR in Matlab (II): A …

Incorporating a guided problem-solving method into ActiveMath using the House Model and logistic Regression D Pholo, S Ngwira – IST-Africa Conference Proceedings, 2014, 2014 – ieeexplore.ieee.org … To obtain this model, we developed a logistic regression module using Matlab. … [14] 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 International Conference …

Ego-motion noise suppression for robots based on Semi-Blind Infinite Non-negative Matrix Factorization T Tezuka, T Yoshida, K Nakadai – Robotics and Automation ( …, 2014 – ieeexplore.ieee.org … This was applied to a hands-free spoken dialog system for a robot. … (8) where X and Y are the clean and the noise-contaminated speech signals, respectively.For SIR and SDR, MATLAB toolbox called “BSS Eval1” was used. …

Fuzzy logic and neural network based gender classification using three features K Meena, KR Subramaniam, M Gomathy – International Journal of …, 2014 – Inderscience … More than 93%, the speech duration of 500 msec is enough for text-independent analysis. For achieving high-quality dialogue systems. … 4 Result and discussions The proposed technique was implemented in MATLAB 7.10 and it is tested for Harvard-Haskins database. … Related articles

An Approach towards Brain Actuated Control in the Field Of Robotics Using Eeg Signals: A Review A Arora, S Bhattacharyya – 2014 – ijari.org … which two are used for simultaneous recording and the third electrode serve as a reference placed at F or FP position. Further processing of the signal is done in the Matlab® (Mathworks) platform using Matlab® scripting and Simulink, implemented in a module. … Related articles All 2 versions

Auditory processing-based features for improving speech recognition in adverse acoustic conditions HK Maganti, M Matassoni – EURASIP Journal on Audio, …, 2014 – asmp.eurasipjournals.com … performance of these systems in adverse and noisy environments is one of the major challenges in applications such as dictation, voice-controlled devices, human-computer dialog systems and navigation … ee.columbia.edu/~dpwe/resources/matlab/gammatonegram/ webcite. … Related articles All 2 versions

DIAPIX-FL: A symmetric corpus of problem-solving dialogues in first and second languages M Wester, MLG Lecumberri… – … Annual Conference of …, 2014 – homepages.inf.ed.ac.uk … Intensity, F0, and formant frequencies were computed using Praat [22] while the remaining parame- ters made use of custom Matlab code. … [12] A. Raux, B. Langner, AW Black, and M. Eskenazi, “Lets go: Improving spoken dialog systems for the elderly and non-native,” in Proc. …

Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning AL Vollmer, M Mühlig, JJ Steil, K Pitsch, J Fritsch… – PloS one, 2014 – dx.plos.org … A number of current dialog systems also incorporate feedback from the robot learner [11], [12], [13]. … To be able to assess the behavior modifications in the tutors’ demonstrations, in MATLAB, we counted the number of times each action was demonstrated to the robot. … Cited by 3 Related articles All 9 versions

Investigating automatic measurements of prosodic accommodation and its dynamics in social interaction C De Looze, S Scherer, B Vaughan, N Campbell – Speech Communication, 2014 – Elsevier … Spoken dialogue systems make use of various language technologies and are increasingly being used to facilitate and enhance human … a set of different acoustic parameters using the phonetic software Praat (Boersma and Weenink, 2006) and the Matlab signal processing … Cited by 3 Related articles All 4 versions

Computer Aided Pronunciation Learning For Al-Jabari Method: A Review NJ Ibrahim, MYI Idris, Z Mohd Yusoff – 2014 – works.bepress.com … in the fields of computer aided learning systems, intelligent tutoring systems, speech recognition, speech synthesis and dialogue systems, which permits … This Markov Chain algorithm was used in developing the software part by using mathematical modelling of MATLAB program …

Affect detection from non-stationary physiological data using ensemble classifiers O AlZoubi, D Fossati, S D’Mello, RA Calvo – Evolving Systems, 2014 – Springer … 3.4 Features extraction The MATLAB Augsburg Biosignal Toolbox (AuBT) (Wag- ner et al. … PRTools offers a variety of data preprocessing and classification methods that allow for the design of custom- specific classification programs in MATLAB. …

Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints J Fu, U Topcu – arXiv preprint arXiv:1412.6029, 2014 – arxiv.org … In the shared autonomy system, the interaction between the autonomous controller and the operator is often made through a dialogue system [17]. The controller may send a request of attention, or some other signal to the operator. …

Emotion Prediction from Physiological Signals: A Comparison Study Between Visual and Auditory Elicitors F Zhou, X Qu, JR Jiao… – Interacting with …, 2014 – iwc.oxfordjournals.org We use cookies to enhance your experience on our website. By continuing to use our website, you are agreeing to our use of cookies. You can change your cookie settings at any time. Find out more. Skip Navigation. … Cited by 1 Related articles All 3 versions

A Robust ICA Based Algorithm for Blind Separation of Convolutive Mixtures Z Albataineh, FM Salem – arXiv preprint arXiv:1408.0193, 2014 – arxiv.org … 7 is assumed that the number of sources is equal to the number of observation “sensors”. The experiments have been carried out using the MATLAB software on an Intel Core i5 CPU 2.4- GHz processor and 4G MB RAM. We …

Convex Cauchy Schwarz Independent Component Analysis for Blind Source Separation Z Albataineh, FM Salem – arXiv preprint arXiv:1408.0192, 2014 – arxiv.org … The identity matrix of size n is denoted by A vector is denoted by a bold small letter, eg, a, and a scalar is denoted by a small letter, eg, . Also, we use MATLAB’s notations to express the algorithm. The paper is organized as follows. …

Speech emotion recognition using amplitude modulation parameters and a combined feature selection procedure A Mencattini, E Martinelli, G Costantini… – Knowledge-Based …, 2014 – Elsevier … A continuous pitch contour model is also required in the computation of speech features. For this reason, we also implemented a fitting procedure based on smoothing spline (SS) (from Matlab™ Statistics Toolbox) based on the approach proposed in [39]. … Cited by 1 Related articles

Perceptual subspace speech enhancement using variance of the reconstruction error A Saadoune, A Amrouche, SA Selouani – Digital Signal Processing, 2014 – Elsevier In this paper, a new signal subspace-based approach for enhancing a speech signal degraded by environmental noise is presented. The Perceptual Karhunen–Loève. Related articles All 3 versions

[BOOK] Simulation, Modeling, and Programming for Autonomous Robots: 4th International Conference, SIMPAR 2014, Bergamo, Italy, October 20-23, 2014. … D Brugali, J Broenink, T Kroeger, B MacDonald – 2014 – books.google.com Page 1. Davide Brugali Jan F. Broenink Torsten Kroeger Bruce A. MacDonald (Eds.) Simulation, Modeling, and Programming for Autonomous Robots 4th International Conference, SIMPAR 2014 Bergamo, Italy, October 20–23, 2014 Proceedings 123 Page 2. …

Effective Hand Gesture Classification Approaches P Premaratne – Human Computer Interaction Using Hand Gestures, 2014 – Springer Page 1. 105 Chapter 5 Effective Hand Gesture Classification Approaches P. Premaratne, Human Computer Interaction Using Hand Gestures, Cognitive Science and Technology, DOI 10.1007/978-981-4585-69-9_5, © Springer Science+Business Media Singapore 2014 … Cited by 1 Related articles

Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features D Bone, C Lee, S Narayanan – 2014 – ieeexplore.ieee.org … The proposed framework achieves highly-competitive performance with additional benefits. The measure is interpretable, scale-continuous as opposed to discrete, and can operate without any affective labeling. An accompanying Matlab tool is made available with the paper. … Cited by 2

Robust Unsupervised Arousal Rating: A rule-based framework with knowledge-inspired vocal features S Narayanan – computer.org … The proposed framework achieves highly-competitive performance with additional benefits. The measure is interpretable, scale-continuous as opposed to discrete, and can operate without any affective labeling. An accompanying Matlab tool is made available with the paper. …

Harmonic/Percussive Sound Separation based on Anisotropic Smoothness of Spectrograms H Tachibana, N Ono, H Kameoka, S Sagayama – 2014 – ieeexplore.ieee.org Page 1. 2329-9290 (c) 2013 IEEE. Personal use is permitted, but republication/ redistribution requires IEEE permission. See http://www.ieee.org/ publications_standards/publications/rights/index.html for more information. This …

Mobile Marker-based Augmented Reality as an Intuitive Instruction Manual H Reuterdahl – 2014 – diva-portal.org … Selector key for grinder 11. Display dialogue system 12. Grinders 13. Funnel for cleaning tablets 14. Water tank 15. Cover for programming keys 16. … Selector key for grinder 11. Display dialogue system 12. Grinders 13. Funnel for cleaning tablets 14. Water tank 15. …

Dynamical Aspects of Spatial Audio in Multi-participant D Roegiers – lib.ugent.be … 63 B Matlab Simulation 65 C C++ Code … Firstly, we work out some theoretical analysis to translate our issue in mathematical terms. Afterwards, Matlab simulations are carried out in order to acquire more insight about the performance of each variant of the sequential algorithm. …

Graduate School of Arts and Sciences J ALON – cs-people.bu.edu Page 1. ‘ & $ % SPATIOTEMPORAL GESTURE SEGMENTATION JONATHAN ALON Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy BOSTON UNIVERSITY Page 2. BOSTON UNIVERSITY … Related articles All 3 versions

Glottal Spectral Separation for Speech Synthesis JP Cabral, K Richmond, J Yamagishi, S Renals – 2014 – ieeexplore.ieee.org … 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 … Cited by 2 Related articles All 2 versions

Combining visual recognition and computational linguistics: linguistic knowledge for visual recognition and natural language descriptions of visual content M Rohrbach – 2014 – scidok.sulb.uni-saarland.de Page 1. Combining Visual Recognition and Computational Linguistics Linguistic Knowledge for Visual Recognition and Natural Language Descriptions of Visual Content Thesis for obtaining the title of Doctor of Engineering Science (Dr.-Ing.) … Related articles