MATLAB & Dialog Systems 2016


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

Resources:

Wikipedia:

References: [ dblp > Conferences and Workshops > Affective Computing and Intelligent Interaction ]

See also:

100 Best MATLAB Neural Network Videos100 Best MATLAB Robotics Videos100 Best MATLAB Simulink Videos100 Best MATLAB Voice Control VideosStatistical Packages & Dialog Systems


Control of proclivity toward selling electricity using persuasive dialog system
K Kitagawa, K Kogiso – Control Systems (ISCS), 2016 SICE …, 2016 – ieeexplore.ieee.org
… system. Third case is that the elec- tricity company which doesn’t know the farm owner’s cost function correctly (with modeling error) uses the per- suasive dialogue system. MATLAB.2014b is used for nu- merical simulation. The …

Development of dialog system powered by textual educational content
OV Bisikalo, SM Dovgalets, P Pijarski… – … , Industry, and High …, 2016 – spiedigitallibrary.org
… Thus the objective of the research is to develop the mathematical provision of on-line dialogue system with the approbation of the respective information technology, able to: transform the training content as a input text information to the formal data base; present … e in MatLab . …

JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio.
S Sarkar, D Das, P Pakray, AF Gelbukh – SemEval@ NAACL-HLT, 2016 – aclweb.org
… textual sim- ilarity are useful to a broad range of applica- tions including: text mining, information re- trieval, dialogue systems, machine translation … We predict STS scores based on three similarity fea- tures as described above using Matlab toolkit con- taining modules for three …

Dynamic Control of Proclivity toward Selling Electricity Using Persuasive Dialogue System
K Kitagawa, K Kogiso – SICE Journal of Control, Measurement, and …, 2016 – jstage.jst.go.jp
… The effect of persuasive dialogue is g(u) = ?u. The PI controller gains are set to KP = KI = 1.0 × 10?4 . MATLAB 2015a was used for the numerical simulation. The first scenario in which the electricity company does not introduce the persuasive dialogue system into the electricity …

Zhaojun Yang
MR Learning – www-scf.usc.edu
… Spoken Dialog System Management • Built a bus information inquiry dialog system using POMDP-based dialog management to enhance dialog … Professional Skills • Extensive experience with C/C++, and Matlab • Experience with Python, C#, and Perl • Keras Deep Learning …

An approach of a computerized planning assistant to the system design of collaborative robot installations
S Keller, R Hausmann, L Kressner… – … and Factory Automation …, 2016 – ieeexplore.ieee.org
… The algorithm then evaluates the various options and displays the recommended collaborative robots and their corresponding properties using a graphical user interface designed in MATLAB©. The dialog system is illustrated in figure 7. Fig. …

An Optimization Method Using Clustering Technique for the Human Emotions Detection Artificial Neuro-Fuzzy Logic System
O Murad, M Malkawi – INTERNATIONAL JOURNAL – researchgate.net
… [4] Burkhardt, F., Van Ballegooy, M., Engelbrecht, KP, Polzehl, T., & Stegmann, J. (2009, September). Emotion detection in dialog systems: applications, strategies and challenges. … [6] Demuth, Howard, and Mark Beale. “Neural network toolbox for use with MATLAB.” (1993). …

Parametric Studies on Motion Intensity Factors in a Robotic Welding Using Speech Recognition
AS Kumar, K Mallikarjuna, AB Krishna… – … (IACC), 2016 IEEE …, 2016 – ieeexplore.ieee.org
… The virtual prototype modelling and op- timization of a 6 DOF robot developed using solid works, MATLAB and simmechanics.The voice control technol … The aim of the proto- type is to develop a speech dialogue system for solving simple relocation tasks in a robot work cell using …

Human/machine interface dialog integrating new information and communication technology for pathological voice
BF Zaidi, SA Selouani, M Boudraa… – Future Technologies …, 2016 – ieeexplore.ieee.org
… the functionalities of the VoiceXML platform [5] who we has served us basic for integrate the voice applications and the web in our dialogue system. … Several programming languages (C++, JAVA, etc …) and several software (Delphi, Matlab, Cygwin, etc…) have been used. …

Bioengineering system for the studying of P. caudatum thermotaxis test-reaction
AN Velichko, IS Zakharov… – NW Russia Young …, 2016 – ieeexplore.ieee.org
… This device is able to shoot from a distance up to 10 mm and to export files to the PC for further digital image processing in Matlab. THE SIMULATION OF TEMPERATURE DISTRIBUTION IN THE CUVETTE By means of an integrated dialogue system of the ELCUT program the …

Active speaker detection in human machine multiparty dialogue using visual prosody information
F Haider, N Campbell, S Luz – Signal and Information …, 2016 – ieeexplore.ieee.org
… system turns out to be more challenging in terms of conversing with the spe- cialities (eg gaze, lip and head movements) utilising human identical face and physique like the Furhat robot [1]) than just speech-based dialogue systems. … 1http://uk.mathworks.com/products/matlab/ …

Filling Demand-Supply Gap by Adjusting Electricity Selling Prices under Stochastic Acceptance
K Kitagawa, K Kogiso – Cyber-Physical Systems, Networks …, 2016 – ieeexplore.ieee.org
… In the first scenario, the electricity company does not use a persuasive dialogue system. … The effect of persuasive dialogue in the second scenario is g(u) = ?u. The PI controller gain is KP = KI = 1.0×10?4 . MATLAB.2015b was used for the numerical simulations. …

Talking to a system and oneself: A study from a Speech-to-Speech, Machine Translation mediated Map Task
H Akira, F Haider, S Luz, L Cerrato, N Campbell – researchgate.net
… This behaviour has been observed before in speakers interact- ing with elaborate automatic dialogue systems [1], [2], and has been referred to … 3.3.2. Classification Method The classification method was implemented in MATLAB1 us- ing Statistics and Machine Learning Toolbox …

An English-Arabic Real Time System (EARS)
AA Sakr – International Journal – pdfs.semanticscholar.org
… Viterbi is applied in dialogue systems, where desired semantic output is more clear. … Oddcast and readanytext are used for TS. Matlab is used for analyzing and synthesizing signals and constructing DB for TS, TTT translation demo translates Arabic to English and vice versa. …

ANITA LILLA VERO
MS Grounding – pdfs.semanticscholar.org
… Image-based representation of phrases towards a goal-oriented, symbol-based dialogue system. Reference: Dr. Daniel Sonntag · Daniel.Sonntag@dfki.de … technologies Python, MATLAB, SQL, C++, web technologies, LATEX Programming languages …

Speech-based emotion recognition and speaker identification: static vs. dynamic mode of speech representation
M Sidorov, W Minker, ES Semenkin – … . ????? «?????????? ? ??????», 2016 – mathnet.ru
… SI and ER can be used to improve a Spoken Dialogue System (SDS). Furthermore, specific information about a speaker can lead to higher ER accuracy. … Some of them were implemented using the MATLAB programming system. …

Is There a Biological Basis for Success in Human Companion Interaction?
D Rösner, D Hazer-Rau, C Kohrs, T Bauer… – … Conference on Human …, 2016 – Springer
… The AuBT provides Matlab-based tools to analyze physiological signals for the emotion recognition. … Psychophysiology 51(11), 1178–1184 (2014)CrossRef. 11. Legát, M., Gr?ber, M., Ircing, P.: Wizard of Oz data collection for the Czech senior companion dialogue system. …

KALDI Recipes for the Czech Speech Recognition Under Various Conditions
P Mizera, J Fiala, A Brich, P Pollak – International Conference on Text …, 2016 – Springer
… for several voice applications as Large Vocabulary Continuous Speech Recognition (LVCSR), ASR webservice, spoken dialogue system, or phonetic … CESNET which offers computing and storage facilities, many types of development software such as MATLAB, OpenFst, Cuda …

Introduction
F Eyben – Real-time Speech and Music Classification by Large …, 2016 – Springer
… both large-scale, efficient off-line batch processing for research, as well as for on-line, incremental processing in interactive speech dialogue systems, for example … ISBN 0-8058-5870-9. O. Lartillot, P. Toiviainen, MIR in Matlab (II): a toolbox for musical feature extraction from audio …

Using Speech Recognition Create Smart Elevator Controlling
A Gatane, A Dalvi, P Arkal, SM Jagdale – 2016 – irjet.net
… PRESENCE— “Predictive sensor motor Control and Emulation” this new architecture blurs the distinction between the core components of a traditional spoken language dialogue system and instead … A MATLAB 7.0 Software used to accept voice command through microphone. …

Tamil Speech Word Recognition System with Aid of ANFIS and Dynamic Time Warping (DTW)
S Rojathai, M Venkatesulu – Journal of Computational and …, 2016 – ingentaconnect.com
… such as speech recognition histories and acoustic classification have been employed and estimated in a genuine dialogue system used by … RESULTS AND DISCUSSION Our proposed Tamil speech word recognition is executed in the working platform of MATLAB (version 7.12 …

Emotion assessing using valence-arousal evaluation based on peripheral physiological signals and support vector machine
MBH Wiem, Z Lachiri – Control Engineering & Information …, 2016 – ieeexplore.ieee.org
… The SVM application was done using LIBSVM [30] and implemented in the Matlab platform. … 32- 80, Jan. 200 I. [2] E. Andre, M. Rehm, W. Minker, and D. BUhler, “Endowing Spoken Language Dialogue Systems with Emotional Intelligence,” in Affective Dialogue Systems, vol. …

Towards the detection of learner’s uncertainty through face
SAA Daud, SL Lutfi – User Science and Engineering (i-USEr) …, 2016 – ieeexplore.ieee.org
… After the dataset selection, the features extraction was implemented via Matlab using the Gabor wavelet technique. … “A satisfaction-based model for affect recognition from conversational features in spoken dialog systems.” Speech Communication, 55, no. 7, 2013, 825-840. …

Presentation quality assessment using acoustic information and hand movements
F Haider, L Cerrato, N Campbell… – Acoustics, Speech and …, 2016 – ieeexplore.ieee.org
… 2http://uk.mathworks.com/products/matlab/ … These techniques have been implemented as a component of a mul- timodal dialogue system intended to monitor the presentation performance of a public speaker, in the EU METALOGUE project [1]. Regarding future work, we are …

Expression of emotion using a system combined artificial neural network and memristor-based crossbar array
G Xie, G Liu, S Zhang – Control Conference (CCC), 2016 35th …, 2016 – ieeexplore.ieee.org
… Fig.4 The Emotion Expression System combined ANN and MCA Because of the limitation of condition, the system will be emulated by the MATLAB. … First steps towards an automatic system,” Affective dialogue systems, Springer Berlin Heidelberg, pp. 36-48, 2004. …

A Simple, Fast Diverse Decoding Algorithm for Neural Generation
J Li, W Monroe, D Jurafsky – arXiv preprint arXiv:1611.08562, 2016 – arxiv.org
… Page 2. Figure 1: An illustration of standard beam search and the proposed diversity-promoting beam search. ? denotes the hyperparameter for penalizing intra-sibling ranking. Scores are made up for illustration purposes. line of beam search code in MATLAB). …

Voice Recognition System to Support Learning Platforms Oriented to People with Visual Disabilities
R Gonzalez, J Muñoz, J Salazar, N Duque – International Conference on …, 2016 – Springer
… One of the most promising applications of speech technology is spoken dialogue system, which offers the interface for simple, direct and hand free access to … 2012. 4. Ibarra, JP, Guerrero, HB: Identificación de comandos de voz utilizando LPC y algoritmos genéticos en Matlab. …

Comparison of text-independent original speaker recognition from emotionally converted speech
J P?ibil, A P?ibilová – Recent Advances in Nonlinear Speech Processing, 2016 – Springer
… To determine the spectral features and the prosodic parameters, the elementary functions from Matlab ver. … 1. Skowron, M., Rank, S., Swiderska, A., Küster, D., Kappas, A.: Applying a text-based affective dialogue system in psychological research: case studies on the effects of …

Advances in adaptive filtering theory and applications to acoustic and speech signal processing
M Rupp, W Kellermann, A Zoubir, G Schmidt – 2016 – Springer
… While many others in this field were satisfied with measuring improvements in form of MATLAB simulations, he always pushed his … Due to the proximity to the speaker’s mouth, such microphones show several advantages for automotive hands-free and speech dialog systems. …

Extraction of Speech Parameters from Speech Database using Festival
SN Kayte, M Mundada – Extraction, 2016 – researchgate.net
… More recent applications include spoken dialogue systems and communicative robots. HMM (Hidden Markov Model) based Speech synthesis is the emerging technology for TTS. … A MATLAB program is used while recording for the generation of single wav files. …

Spoken interaction modeling for automatic assessment of collaborative learning
J Smith, H Bratt, C Richey, N Bassiou… – Speech …, 2016 – pdfs.semanticscholar.org
… Matlab program),” Mathworks.com, 2015. [Online]. Available: http://www.mathworks.com/ matlabcentral/fileexchange/25500- peakfinder-x0–sel–thresh–extrema–includeendpoints– interpolate-. [18] E. Shriberg, A. Stolcke and S. Ravuri, “Addressee Detection for Dialog Systems …

An Emotional Model based on Wavelet Coherence Analysis of EEG Recordings
A Fattouh – Our Major Indexing at International Level, 2016 – bvicam.ac.in
… The imported signal is recorded from inside Matlab® using a dedicated function [28]. … [14]. T. Vogt, E. André, and N. Bee,” EmoVoice—A framework for online recognition of emotions from voice,” in Perception in multimodal dialogue systems, ed: Springer, 2008, pp. 188-199. [15]. …

Prosodic Head Motion Generation from Text for a Chinese Talking Avatar
Y Sun, Y Wang – … Intelligence and Security (CIS), 2016 12th …, 2016 – ieeexplore.ieee.org
… And we get the nodding parameters with IntraFace, and based on the analyzed Chinese text, a correlative curve can be mapped with MATLAB. … A dialogue system usually uses a textYdriven approach since the spoNen text is Nnown. …

Exploiting turn-taking temporal evolution for personality trait perception in dyadic conversations
MH Su, CH Wu, YT Zheng – IEEE/ACM Transactions on Audio …, 2016 – ieeexplore.ieee.org
Page 1. IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSING, VOL. 24, NO. 4, APRIL 2016 733 Exploiting Turn-Taking Temporal Evolution for Personality Trait Perception in Dyadic Conversations …

A Naïve Bays Classifier to Classify Movie
N Raghuvanshi, JM Patil – ijarcet.org
… has a number of applications, including tracking sentiment towards products, movies, politicians, etc., improving customer relation models, detecting happiness and well-being, and improving automatic dialogue systems. … RESULTS The The algorithm is evaluated on matlab 7.9. …

Implementing Deep Learning Object Recognition on NAO
Y Philippczyk – 2016 – hdms.bsz-bw.de
… 29 6.5 Dialogue System . . . . . … [30]. In this work, it represents the main tool for tasks related to the object recognition itself. Caffe is implemented in C++, with Python and Matlab bindings and supports CPU as well as GPU calculations, the latter enabled by CUDA support. …

Monitoring of Stator windings Faults in Induction Machine Using Fuzzy Logic
H Merabet, D Drici, S Aoabdi – Journal of Electrical and …, 2016 – search.proquest.com
… The model of the approach as well as the global model are simulated by using software MATLAB ® SIMULINK and results of simulations obtained … CM: interprets the state of the stator as a linguistic variable, The dialog system CM {Healthy Stator (HS)}: interprets that the stator is …

GMM-based speaker gender and age classification after voice conversion
J P?ibil, A P?ibilová, J Matoušek – Sensing, Processing and …, 2016 – ieeexplore.ieee.org
… In a similar way as a speaker adapts his/her speaking style to a person who is talked to [1], the automatic dialogue system might change the … The described voice conversion was implemented in the Matlab software environment with the help of the “Signal processing” toolbox. …

Hybrid recognition technology for isolated voice commands
G Bartiši?t?, K Ratkevi?ius, G Paškauskait? – … Systems Architecture and …, 2016 – Springer
… Meanwhile, quite often mentioned commercial packages Excel and Matlab are used only as an auxiliary packages, used in combination with already mentioned open code data … 1. Suendermann, D., Pieraccini, R.: SLU in commercial and research spoken dialogue systems. …

Impact of demand side resources and carbon quota on unit commitment solution
A Sharma, YP Verma – Power Electronics, Intelligent Control …, 2016 – ieeexplore.ieee.org
… admittance I. INTRODUCTION The salient feature of smart grid is a two way digital dialog system. It … grid, [2] demand response and distributed generation using GAMS 23.4 optimization software interfaced with MATLAB 7.0.4[16-17]. The …

Detecting Target Objects by Natural Language Instructions Using an RGB-D Camera
J Bao, Y Jia, Y Cheng, H Tang, N Xi – Sensors, 2016 – mdpi.com
… cannot be identified. For instance, Johnson-Roberson et al. [21] proposed to refine the model of a complex 3D scene through combining state-of-the-art computer vision and a natural dialog system. Sun et al. [22] proposed to …

Deep learning in the automotive industry: Applications and tools
A Luckow, M Cook, N Ashcraft, E Weill… – Big Data (Big Data) …, 2016 – ieeexplore.ieee.org
… Deep learning is extensively used by many online and mobile services, such as the voice recognition and dialog systems of Siri, the Google Assistant, Amazon’s Alexa and Microsoft Cortana, as well as the image classification systems in Google Photo and Facebook. …

Associating gesture expressivity with affective representations
L Malatesta, S Asteriadis, G Caridakis… – … Applications of Artificial …, 2016 – Elsevier
Affective computing researchers adopt a variety of methods in analysing or synthesizing aspects of human behaviour. The choice of method depends on which behavi.

Affective Conversational Interfaces
M McTear, Z Callejas, D Griol – The Conversational Interface, 2016 – Springer
… from 1 to 154 subjects. 15.3.1.7 Open Tools for the Analysis of Physiological Signals. The Augsburg Biosignal Toolbox (AuBT) 3 is a toolbox written in MATLAB and developed at the University of Augsburg. The toolbox can be …

EEG-based emotion recognition of Quran listeners
A Fattouh, I Albidewi, B Baterfi – Computing for Sustainable …, 2016 – ieeexplore.ieee.org
… The imported signal is recorded from inside Matlab® using a dedicated function [23]. ? … [15] T. Vogt, E. André, and N. Bee, 9EmoVoice2A framework for online recognition of emotions from voice,9 in Perception in multimodal dialogue systems, ed: Springer, 2008, pp. 188Y199. …

Motion planning of a robot in real-time based on the general model of humanoid robots
A Batinica, M Rakovi?, M Zari?… – … and Informatics (SISY …, 2016 – ieeexplore.ieee.org
… In order to communicate verbally and non-verbally, the robot has an integrated cognitive dialogue system, which integrates subsystems for speech … the gen- eral model implemented in C++ on an RTOS were compared with the results obtained from a MATLAB implementation of …

Modeling communicative behaviors for object references in human-robot interaction
H Admoni, T Weng, B Scassellati – Robotics and Automation …, 2016 – ieeexplore.ieee.org
… haptic-ostensive references—which occur when an object is being referenced as it is manipulated—into the dialogue system for a … value corresponding to the saliency of the target object in that scene, calculated using the SaliencyToolbox, a Matlab software implementation [ …

Effects of emotion on physiological signals
S Basu, A Bag, M Aftabuddin… – … ), 2016 IEEE Annual, 2016 – ieeexplore.ieee.org
… Zephyr BioHarness was used for Respiration, ECG. LabChart 7, Matlab 2013a, and Kubios HRV were used for data analysis. 6) Features Computed: For SC, mean, standard deviation, RMS value, slope and integral of time window have been used. …

Development of a smart algorithm for content analysis of non-verbal information in speech
H Abdelwahab – irit.fr
… Meanwhile, there are issues that appear when attempting to achieve this purpose of understanding the behavioral of users in dialogue system. According to [11], emotion recognition is considered to be the most difficult problems for the following reasons: … MIT-Tool Matlab …

Complex multidisciplinary system composition for aerospace vehicle conceptual design
L Gonzalez – 2016 – search.proquest.com
… 95Figure 4-13 Example Methods Library Entry MATLAB m-file ( AERO_MD0001.m)…. 96Figure 4-14 CMDS Composition Input Form – Matching ….. … 111Table 4-10 CMDS Output – MATLAB File Types ….. …

Complex multidisciplinary systems decomposition for aerospace vehicle conceptual design and technology acquisition
A Omoragbon – 2016 – search.proquest.com
… 75Figure 4-6 Example Methods Library Entry MATLAB m-file (AERO_MD0001.m) …. 76Figure 5-1 Generic Hypersonic Vehicle Study Description (Ruttle et al., 2012) …. … Vehicle 1986-. TsAGI Dialog System for Preliminary Design TsAGI. …

Investigating Multimodal Audiovisual Event Detection and Localization
N Vryzas, R Kotsakis, CA Dimoulas… – Proceedings of the Audio …, 2016 – dl.acm.org
Page 1. Investigating Multimodal Audiovisual Event Detection and Localization N.Vryzas Aristotle University of Thessaloniki Greece, 54124 nvryzas@ece.auth.gr Dr. R. Kotsakis Aristotle University of Thessaloniki Greece, 54124 rkotsakis@gmail.com …

Learning Bayesian Networks in the Space of Structures by a Hybrid Optimization Algorithm.
M Zhu, S Liu, J Jiang – International Journal of Computers …, 2016 – search.ebscohost.com
… They have been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, expert systems, medical diag- nosis, and genetic regulatory network inference [1-6]. With a network at hand, probabilistic inference can be performed to predict the …

Improving the performance against force variation of EMG controlled multifunctional upper-limb prostheses for transradial amputees
AH Al-Timemy, RN Khushaba… – … on Neural Systems …, 2016 – ieeexplore.ieee.org
… com/electromyogram-emg-repository.html). D. EMG Pattern Recognition Analysis MATLAB 2013a software (Mathworks, USA) was used to perform the analyses. … The mean of all amputees is shown and error bars represent standard deviation. 8 GB RAM with MATLAB 2013a. …

Efficient Acoustic Front-End Processing for Tamil Speech Recognition using Modified GFCC Features
C Vimala, V Radha – … Journal of Image, Graphics and Signal …, 2016 – search.proquest.com
… It has been applied in many research areas like dictation, dialog system and voice based information search etc. … The authors have considered two emotions SAD and HAPPY [7]. The experiments were done under matlab and the results prove that the BPNN with GFCC feature …

Higher-order Multivariable Polynomial Regression to Estimate Human Affective States
J Wei, T Chen, G Liu, J Yang – Scientific reports, 2016 – nature.com
… More specific details are stated in the methods section. All of the analysis were implemented by using Matlab R2013b endowed with self-made codes and an additional Neural Network Toolbox for the ANN model. Data sets. …

A metric for predicting binaural speech intelligibility in stationary noise and competing speech maskers a
Y Tang, M Cooke, BM Fazenda… – The Journal of the …, 2016 – asa.scitation.org
… their locations are available. I. INTRODUCTION. Speech output, both natural and synthetic, is increasingly used in applications such as spoken dialogue systems, broadcast audio, and in public address systems. A key goal in …

A survey on design and development of an unmanned aerial vehicle (quadcopter)
D BBVL, P Singh – International Journal of Intelligent …, 2016 – emeraldinsight.com
… The block diagram of flying robot control system is shown in Figure 14. Kivrak (2006) designed the control system for a quadrotor flight vehicle equipped with inertial sensors. They had developed a non-linear model of quadrotor by using MATLAB/Simulink. …

Detecting affective states from text based on a multi-component emotion model
Y Gao, W Zhu – Computer Speech & Language, 2016 – Elsevier
A multi-component emotion model is proposed to describe the affective states comprehensively and provide more details about emotion for the application of expre.

Determination of Emotional State through Physiological Measurement
LB Hinkle – 2016 – digital.library.txstate.edu
… My fellow researcher and frequent lunch buddy Kamrad Roudposhti was always willing to help me with MATLAB and machine learning … thank my wonderful daughters; Paige lent me the original Oculus DK2 while Shawn shared her MATLAB experiences and opinions. Page 7. …

Prototype-based class-specific nonlinear subspace learning for large-scale face verification
A Iosifidis, M Gabbouj – … Tools and Applications (IPTA), 2016 6th …, 2016 – ieeexplore.ieee.org
… and the corresponding standard deviation. All experiments have been conducted on a 24-core, 2.5GHz workstation with 96GB RAM, using single floating point precision and a MATLAB implementation. In order to speedup the …

Do visual cues intensify the emotional responses evoked by musical performance? A psychophysiological investigation.
JK Vuoskoski, E Gatti, C Spence… – … : Music, mind, and brain, 2016 – psycnet.apa.org
… energy arousal than in the VO mode. Physiological Measures. Electrodermal activity. The extraction of skin conductance features was performed using the MATLAB toolbox Ledalab. Four different skin conductance features were …

A learned representation for artistic style
V Dumoulin, J Shlens, M Kudlur, A Behboodi… – arXiv preprint arXiv …, 2016 – arxiv.org
… Extended version of our ECCV2016 paper “Deep Image Retrieval: Learning global representations for image search”. Subjects: Computer Vision and Pattern Recognition (cs.CV). arXiv:1610.07944 [pdf, other] Title: IB2d: a Python and MATLAB implementation of the immersed …

Relations Among Speech Quality, Human Speaker Identification, and Automatic Speaker Verification
LF Gallardo – Human and Automatic Speaker Recognition over …, 2016 – Springer
… It may be possible that particular communication equipment adapted to human-to-human communications does not satisfy the requirements when automatic speech or speaker recognisers are involved, such as in spoken dialogue systems. …

Natural vibrations of elastic stepped arches with cracks
A Liyvapuu – 2016 – dspace.ut.ee
… B4. This system has a non-trivial solution if and only if its determinant ? equals to zero. Numerical results and discussion The equation ? = 0 is solved up to the end numerically making use of the computer code MATLAB. We …

Effective Dimensionality Reduction of Payload-Based Anomaly Detection in TMAD Model for HTTP Payload.
M Kakavand, N Mustapha, A Mustapha, MT Abdullah – TIIS, 2016 – kpubs.org
Page 1. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS VOL. 10, NO. 8, Aug. 2016 3884 Copyright ?2016 KSII Effective Dimensionality Reduction of Payload-Based Anomaly Detection in TMAD Model for HTTP Payload …

Interaction Design for 3D User Interfaces: The World of Modern Input Devices for Research, Applications, and Game Development
FR Ortega, F Abyarjoo, A Barreto, N Rishe, M Adjouadi – 2016 – books.google.com
… MATLAB® is a trademark of The MathWorks, Inc. … This book’s use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. …

Large Scale Data Enabled Evolution of Spoken Language Research and Applications
S Jothilakshmi, VN Gudivada – Handbook of Statistics, 2016 – Elsevier
Natural Language Processing (NLP) is an interdisciplinary field whose goal is to analyze and understand human languages. Natural languages are used in two forms.

STRESS RECOGNITION FROM SPEECH SIGNAL
M STAN?K – vutbr.cz
Page 1. VYSOKÉ U?ENÍ TECHNICKÉ V BRN? BRNO UNIVERSITY OF TECHNOLOGY FAKULTA ELEKTROTECHNIKY A KOMUNIKA?NÍCH TECHNOLOGIÍ ÚSTAV RADIOELEKTRONIKY FACULTY OF ELECTRICAL ENGINEERING …

The power of online genetic algorithm in stealth assessment for school readiness
I Suleiman, M Arslan, R Alhajj, M Ridley – Journal of Computers in …, 2016 – Springer

Emotion Recognition from Speech with Acoustic, Non-Linear and Wavelet-based Features Extracted in Different Acoustic Conditions
JC Vásquez Correa – 2016 – bibliotecadigital.udea.edu.co
… Page 20. 2 Introduction efforts are devoted to increasing accessibility and efficiency of spoken dialogue systems by integrating emotional and other paralinguistic cues [2]. There are a great deal of potential application that may use technologies related to …

Design and Development of the eBear: A Socially Assistive Robot for Elderly People with Depression
A Kargarbideh – 2016 – search.proquest.com
… always running. In the following each software module is explained in details. 3.2.1 Interactivity. One difcult challenge in designing social robots is developing the spoken dialog system and natural language processing. An ideal …

A Convex Model for Linguistic Influence in Group Conversations.
K Kawabata, V Berisha, A Scaglione… – …, 2016 – pdfs.semanticscholar.org
… Such a model is of great interest since linguistic accommoda- tion plays an important role in a variety of fields, including in- tercultural communication [4], child development [5], human- computer dialog systems [6], etc. … [34] M. Grant and S. Boyd, “Cvx: Matlab software for …

Prosody Utilization in Continuous Speech Recognition
J Bartošek – 2016 – dspace.cvut.cz
… Czech phrase modality detection from acoustic signal is covered and together with existing phrase boundary detector can such system serve as an punctuation module for Czech dictation ASR system or in Czech dialogue system to support its natural language processing (NLP …

Learning with rejection
C Cortes, G DeSalvo, M Mohri – International Conference on Algorithmic …, 2016 – Springer
… bioinformatics. In comparison, the cost of abstaining from prediction, which may be that of additional medical tests, or that of routing a call to a customer representative in a spoken-dialog system, is often more acceptable. From …

A Study on the Effect of Design Factors of Slim Keyboard’s Tactile Feedback
KC Lin, CF Wu, HL Hsu, YH Tu, CC Wu – Topology, 2016 – waset.org
Conferences.

Safe and Adaptive Control Approaches for Mobility Assistance Robots
M Geravand – 2016 – mediatum.ub.tum.de
Page 1. Lehrstuhl für Steuerungs- und Regelungstechnik Technische Universität München Safe and Adaptive Control Approaches for Mobility Assistance Robots Milad Geravand Vollständiger Abdruck der von der Fakultät für …

Discriminative Acoustic Features for Deployable Speech Recognition
A Faria – 2016 – eecs.berkeley.edu
Page 1. Discriminative Acoustic Features for Deployable Speech Recognition Arlo Faria Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCB/EECS-2016-199 http://www2 …

Automatic recognition of the speaker’s dialect
W Peerlinck – 2016 – lib.ugent.be
Page 1. Willem Peerlinck Automatic recognition of the speaker’s dialect Academic year 2015-2016 Faculty of Engineering and Architecture Chair: Prof. dr. ir. Rik Van de Walle Department of Electronics and Information Systems …

Push and pull menus for auditory interfaces
JB Wilson – 2016 – smartech.gatech.edu
Page 1. PUSH AND PULL MENUS FOR AUDITORY INTERFACES A Dissertation Presented to The Academic Faculty by Jeff Wilson In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in Computer Science in the School of Interactive Computing …

Reading Faces. Using Hard Multi-Task Metric Learning for Kernel Regression
J Nicolle – 2016 – theses.fr
… ‘CompanionAble’1 led to Hector, a robot designed for assisting elderly people living alone. Among other abilities, it includes a personalized dialog system displaying emotional intelli- gence to avoid feelings of loneliness and offer cognitive stimulation through games. …

Universal Access in Human-Computer Interaction. Users and Context Diversity: 10th International Conference, UAHCI 2016, Held as Part of HCI International …
M Antona, C Stephanidis – 2016 – books.google.com
Page 1. Margherita Antona Constantine Stephanidis (Eds.) Universal Access in Human-Computer Interaction Users and Context Diversity 10th International Conference, UAHCI 2016 Held as Part of HCI International 2016 Toronto …

Analysis and modeling for robust whispered speech recognition
S Ghaffarzadegan – 2016 – search.proquest.com
… 10 ms. All speech material is sampled at 16 kHz with 16 bit quantization. The front-ends are implemented in the LabRosa Matlab toolkit (LabRosa, 2013) and employ cepstral mean normalization (Atal, 1974). The acoustic models …

Self-reported symptoms of depression and PTSD are associated with reduced vowel space in screening interviews
S Scherer, GM Lucas, J Gratch… – IEEE Transactions …, 2016 – ieeexplore.ieee.org
… 4.3 Speech Processing and Formant Tracking For the processing of the speech signals, we use the freely available COVAREP toolbox (v 1.1.0), a collaborative speech analysis repository available for Matlab and Octave [58].7 COVAREP provides an extensive selection of open …

3.35 Open Problems and State-of-Art of Session Types
N Yoshida – Compositional Verification Methods for Next …, 2016 – pdfs.semanticscholar.org
Page 24. 22 15191–Compositional Verification Methods for Next-Generation Concurrency 3.35 Open Problems and State-of-Art of Session Types Nobuko Yoshida (Imperial College London, GB) License Creative Commons …

Automatic text and speech processing for the detection of dementia
K Fraser – 2016 – search.proquest.com
Automatic text and speech processing for the detection of dementia. Abstract. Dementia is a gradual cognitive decline that typically occurs as a consequence of neurodegenerative disease, and can result in language deficits (ie, aphasia). …