MATLAB & Dialog Systems 2015


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MATLAB & Dialog Systems 2012 | MATLAB & Dialog Systems 2013 | MATLAB & Dialog Systems 2014Statistical Packages & Dialog Systems


Knowledge graph inference for spoken dialog systems Y Ma, PA Crook, R Sarikaya… – 2015 IEEE International …, 2015 – ieeexplore.ieee.org … [14] Filip Jurc?cek, Blaise Thomson, and Steve Young, “Nat- ural actor and belief critic: Reinforcement algorithm for learning parameters of dialogue systems modelled as pomdps … [18] Mark Schmidt, “UGM: Matlab toolkit for undi- rected graphical models,” http://www.cs.ubc. … Cited by 4 Related articles All 6 versions

A Methodology for Efficient Gender Dependent Speaker Age and Emotion Identification System SJ Chaudhari, RM Kagalkar – dimension, 2015 – researchgate.net … Given the very importance of emotions in human communication and decision making, for instance, automatic dialog systems with the ability to recognize emotions can … [20] Manan Vyas “A Gaussian Mixture Model Based Speech Recgnition System Using Matlab”, Signal & … Cited by 6 Related articles All 4 versions

Integrating conversation trees and cognitive models within an eca for aggression de-escalation training T Bosse, S Provoost – International Conference on Principles and Practice …, 2015 – Springer … By integrating a cognitive model of aggression within a dialogue system based on conversation trees, the system benefits from the advantages of … Our first results based on the Matlab application pointed out that users indeed appreciated the conversations as interesting and not … Cited by 3 Related articles All 3 versions

A Speech-Based Approach to Video Retrieval B QasemiZadeh, J Shen, IM O’Neill, P Hanna… – pars.ie … The components of this pilot system are implemented in Matlab, Java, and Prolog. … was to explore dependencies between image analysis, event detection, video annotation, and speech based retrieval of the video content in the context of a broader spoken dialogue system . … Related articles

Learning for Spoken Dialog Systems with Discriminative Graphical Models Y Ma – 2015 – etd.ohiolink.edu Page 1. LEARNING FOR SPOKEN DIALOG SYSTEMS WITH DISCRIMINATIVE GRAPHICAL MODELS DISSERTATION … Page 2. c Copyright by Yi Ma 2015 Page 3. ABSTRACT A statistical spoken dialog system must keep track of what the user wants at any point during a dialog. … Related articles All 3 versions

Technical Report: a tool for measuring Prosodic Accommodation S Ghosh – arXiv preprint arXiv:1512.08982, 2015 – arxiv.org … and the capture of its dynamic manifestation. Here we seek to build a complete system for measuring prosodic accommodation with matlab. … It covers a vast areas of research from Spoken Dialog Systems to games and assistive technologies. … Related articles All 3 versions

Dialog Management with Deep Neural Networks L Zilka – pdfs.semanticscholar.org … 1 Introduction A dialog state tracker is an essential component of modern spoken dialog systems. … The standard mode of operation of a spoken dialog system is turn-by-turn, where the system always waits for the user to stop talking and only then gener- ates its response. … Related articles All 3 versions

New Approach For Devnagari Text To Speech Conversion MPS Shetake, MSA Patil, MPM Jadhav – ijrst.com … Customer support dialog systems Interactive voice response (IVR) systems etc and are also useful in an applied research. … 1. Grayscale conversion / binarization : As database consist color photographs there is need to convert RGB color values to gray color using MATLAB. … Related articles

Synthesis of Speech & Speaker Recognition Using Data Driven Approach L Kumari, R Guha, G Gera – Citeseer … Keywords—Automation system for pattern matching, MATLAB coding speaker identification, Speech processing. … 4) Spoken Dialog System: Having decoded the speech signal into a sequence of words, or a hypothesized sequence of words, a traditional speech understanding … Related articles All 2 versions

A Decision Support System for market-driven product positioning and design N Lei, SK Moon – Decision Support Systems, 2015 – Elsevier … AdaBoost classification. The system combines the data integrity, security, and reliability of a database with the unparalleled analytical capability of the Matlab tool suite through an intuitive Graphical User Interface (GUI). This … Cited by 10 Related articles All 4 versions

VLSI design for SVM-based speaker verification system JC Wang, LX Lian, YY Lin… – IEEE Transactions on Very …, 2015 – 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. … Cited by 6 Related articles

Comparing attribute classifiers for interactive language grounding Y Yu, A Eshghi, O Lemon – pdfs.semanticscholar.org … We do not yet have a fully inte- grated dialogue system, so for our experiments presented below, we assume access to logical se … Edges and their orientations are detected using a MATLAB canny edge detector, which contributes to finding both edges and boundaries of objects … Cited by 2 Related articles All 7 versions

Low complexity on-line adaptation techniques in context of assamese spoken query system S Shahnawazuddin, KT Deepak, BD Sarma… – Journal of Signal …, 2015 – Springer Cited by 1 Related articles All 3 versions

Improved multi-kernel SVM for multi-modal and imbalanced dialogue act classification Y Zhou, X Cui, Q Hu, Y Jia – 2015 International Joint …, 2015 – ieeexplore.ieee.org … our recent research results show that the accent of an utterance is also essential to determine the DA tags in a Chinese dialogue system [5]. While in … All experiments are conducted with MATLAB 2011b and weka 7.1 on a computer running Windows 7 with 4GB main memory. … Related articles

Approximate Linear Programming for Constrained Partially Observable Markov Decision Processes. P Poupart, A Malhotra, P Pei, KE Kim, B Goh… – AAAI, 2015 – ailab.kaist.ac.kr … For instance, in spoken dialog systems (Williams and Young 2007) the main objective may be to minimize the number of turns while ensuring that the probability of completing a booking task is above some threshold. In mobile assistive technolo- gies (Hoey et al. … Cited by 6 Related articles All 9 versions

Design and Analysis of Low Cost Electro-dermal Response System Using Texas Instrument’s MSP430 Value Line Launchpad SR Yeddula, GV Tcheslavski – International Journal Bioautomation, 2015 – clbme.bas.bg … Short time Fourier transform is applied on the noise estimate, using spectrogram function of Matlab, to obtain the spectral plot which … First Steps Towards an Automatic System, In: André E., L. Dybkjær, W. Minker, P. Heisterkamp (Eds.), Affective Dialogue Systems, Springer Berlin … Cited by 1 Related articles All 2 versions

Human-Humanoid Interaction by Verbal Dialogue CR BOTHE – 2015 – informatik.uni-hamburg.de … techniques. However, it is still complicated for us to create a spoken dialogue system for the humanoid robot. … approach. In this approach we used the Yet Another Dialogue Tool Kit (YADTK), which is a rule-based spoken dialogue system. … Related articles

Romanian phonetic transcription dictionary for speeding up language technology development J Domokos, O Buza, G Toderean – Language Resources and Evaluation, 2015 – Springer … Network training was performed in Matlab environment, using Levenberg–Marquardt back-propagation (trainlm) training function, mse (mean squared normalized error) performance criterion and early … Spontaneous speech recognition for Romanian in spoken dialogue systems. … Cited by 2 Related articles All 5 versions

On the linear belief compression of POMDPs: a re-examination of current methods Z Wang, PA Crook, W Tang, O Lemon – arXiv preprint arXiv:1508.00986, 2015 – arxiv.org … Uncertainties may come from different sources, eg noisy sensors in a robotic system, or speech recognition errors in a spoken dialogue system, etc., which motivates the utilisation of probabilistic techniques to track the system states. … Cited by 1 Related articles All 4 versions

i-vector Algorithm with Gaussian Mixture Model for Efficient Speech Emotion Recognition J Gomes, M El-Sharkawy – 2015 International Conference on …, 2015 – ieeexplore.ieee.org … It can also be helpful in practical applications like robotics, human computer interaction, psychological health services, lie detection, dialog systems, call centres … C. GMM UBM Calculation and i-vector Extraction Software used in this step was Matlab, which is a widely used piece … Related articles All 3 versions

Multi-mode semantic cues in soccer video Y Wang, Y Cao, M Wang, G Liu – 2015 – onlinepresent.org … collected from many sessions of 2010 South Africa FIFA, 2011 EPL and 2011 UEFA, MPEG format, 352 x 288 DPI, software environment Matlab R2008a. … 5. Yang Minghao, Tao Jianhua, Li Hao, nest forest at multi-channel man-machine dialogue system for natural interaction. … Related articles

Inference of human beings’ emotional states from speech in human–robot interactions L Devillers, M Tahon, MA Sehili… – International Journal of …, 2015 – Springer … 0. 240. 10 functionals: min, max, mean, median, std, slope, centroid, spread, kurtosis, skewness. 4.3 Set 3 (S3-293-LIMSI). We propose a set of hybrid (perceptual and cepstral) coefficients of 293 acoustic descriptors (Table 6) obtained with praat and also some scripts on matlab. … Cited by 6 Related articles All 2 versions

Reliable emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals M Khezri, M Firoozabadi, AR Sharafat – Computer Methods and Programs …, 2015 – Elsevier In this study, we proposed a new adaptive method for fusing multiple emotional modalities to improve the performance of the emotion recognition system. Three-ch. Cited by 3 Related articles All 5 versions

“C? Mon dude!”: Users adapt their behaviour to a robotic agent with an attention model L Cavedon, C Kroos, D Herath, D Burnham… – International Journal of …, 2015 – Elsevier … 5.3. Equipment. Segie was linked to a PC, and its speech and movement settings were controlled by the experimenter via the THAMBS graphical user interface in MATLAB (The MathWorks, Inc.). Two video recordings were made … Cited by 2 Related articles All 6 versions

Biometrics in human-machine interaction WA Shier, SN Yanushkevich – Information and Digital …, 2015 – ieeexplore.ieee.org … An example of this was studied in [36]. The facial points (Action Units) were located using an Active Appearance Model, as illustrated in Figure 3. The deformation of the points are then calculated and input into a backpropagation neural network (implemented in Matlab). … Cited by 1 Related articles

A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan – arXiv preprint arXiv:1506.00019, 2015 – arxiv.org … convincingly engage in dialogue [Turing, 1950]. Besides dialogue systems, modern interactive systems of economic importance include self-driving cars and robotic surgery, among others. Without an explicit model of sequentiality … Cited by 19 Related articles All 10 versions

Techniques of Ontology and its Usage in Indian Languages-A Review R Kaur, S Sharma – International Journal of Computer …, 2015 – search.proquest.com … This study includes 16 subjects taken from German University. The dialogue system is presented to each and every subject. … To calculate MGP for 145 ontologies, Matlab 7.0 is used. MGP gives the rank score list of all ontologies. … Related articles All 6 versions

Machine comprehension with syntax, frames, and semantics H Wang, MBKGD McAllester – Volume 2: Short Papers, 2015 – anthology.aclweb.org … To minimize the loss, we use the miniFunc package in MATLAB with LBFGS (Nocedal, 1980; Liu and Nocedal, 1989). … 2013. Unsupervised induction and fill- ing of semantic slots for spoken dialogue systems using frame-semantic parsing. … Cited by 7 Related articles All 11 versions

Automatic Speech Recognition-A Literature Survey on Indian languages and Ground Work for Isolated Kannada Digit Recognition using MFCC and ANN SB Harisha, S Amarappa, DSV Sathyanarayana – International Journal of … – eslibrary.org … (2006) [108] presented an inexpensive approach for gathering the linguistic resources needed to power a simple spoken dialog system. … The algorithm is developed on MATLAB platform using Signal Processing Toolbox, Statistical Toolbox and Neural Network Toolbox. … Cited by 2 Related articles All 2 versions

Backchannel prediction for Mandarin human-computer interaction MAO Xia, P Yiping, XUE Yuli, LUO Na… – … on Information and …, 2015 – search.ieice.org … Nishimura et al. developed a Japanese spoken dialog system which could spontaneously generate chat-like responses including backchannel[12]. … First-order regression coefficients of pitch and power contours are calculated by matlab scripts. … Related articles All 5 versions

Homogeneous Spiking Neuromorphic System for Real-World Pattern Recognition X Wu, V Saxena, K Zhu – … on Emerging and Selected Topics in …, 2015 – ieeexplore.ieee.org Page 1. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS 1 … Cited by 2 Related articles All 7 versions

Automatic Speech Recognition of Urdu Digits with Optimal Classification Approach H Ali, A Jianwei, K Iqbal – International Journal of Computer …, 2015 – search.proquest.com … 4, pp. 540 544, 2008. [4] J.-J. Mao, Q. lin Chen, F. Gao, R. Guo, and R.-Z. Lu, STIS: a Chinese spoken dialogue system about Shanghai … 103109. [9] S. Hasnain and M. Awan, Recognizing spoken urdu numbers using fourier descriptor and neural networks with matlab, in Second … Related articles All 5 versions

Weighted spectral features based on local Hu moments for speech emotion recognition Y Sun, G Wen, J Wang – Biomedical Signal Processing and Control, 2015 – Elsevier … It is much expected that human emotions can automatically be recognized by machines to improve human machine interaction [1]. With the growth in the electronic and computer technologies, new spoken dialog systems with emotion recognition capability are needed. … Cited by 3 Related articles All 2 versions

When Correction Turns Positive: Processing Corrective Prosody in Dutch DV Dimitrova, LA Stowe, JCJ Hoeks – PloS one, 2015 – journals.plos.org … Segments of 1300 ms duration were time-locked to the target word onset and at the sentence onset and corrected against a 200 ms pre-stimulus baseline for both. The condition-specific averages were then imported in the Matlab toolbox Fieldtrip [32]. … Related articles All 12 versions

Multi-mode semantic cues based on hidden conditional random field in soccer video Y Wang, Y Cao, M Wang, G Liu – Int. J. Multimedia Ubiquitous Eng, 2015 – sersc.org … videos were collected from many sessions of 2010 South Africa FIFA, 2011 EPL and 2011 UEFA, MPEG format, 352 x 288 DPI, software environment Matlab R2008a. … [5] Y. Minghao, T. Jianhua and L. Hao, “Nest forest at multi-channel man-machine dialogue system for natural … Cited by 1 Related articles All 2 versions

Cross-corpus depression prediction from speech V Mitra, E Shriberg, D Vergyri, B Knoth… – … , Speech and Signal …, 2015 – ieeexplore.ieee.org … [28] E. Shriberg, A. Stolcke, S. Ravuri, “Addressee detection for dialog systems using temporal and spectral dimensions of speaking style,” Proc. … [30] H. Nam, L. Goldstein, E. Saltzman, D. Byrd, “TADA: An enhanced, portable task dynamics model in Matlab,” J. of Acoust. Soc. … Cited by 2 Related articles All 4 versions

Social interactive robot navigation based on human intention analysis from face orientation and human path prediction P Ratsamee, Y Mae… – …, 2015 – robomechjournal.springeropen.com Skip to main content. … Related articles All 5 versions

Recognition of Facial Emotion through Face Analysis based on Quadratic Bezier Curves YH Lee, H Ahn, HJ Cho, JH Lee – Indian Journal of Science and …, 2015 – indjst.org Page 1. Indian Journal of Science and Technology, Vol 8(35), DOI: 10.17485/ijst/2015/v8i35/ 86092, December 2015 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 *Author for correspondence Recognition of Facial Emotion through Face Analysis … Cited by 2 Related articles

Spoken term detection ALBAYZIN 2014 evaluation: overview, systems, results, and discussion J Tejedor, DT Toledano… – EURASIP …, 2015 – asmp.eurasipjournals.springeropen. … Skip to main content. … Cited by 2 Related articles All 7 versions

Affect detection from non-stationary physiological data using ensemble classifiers O AlZoubi, D Fossati, S D’Mello, RA Calvo – Evolving Systems, 2015 – 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. … Cited by 6 Related articles All 4 versions

Structure and weights optimisation of a modified Elman network emotion classifier using hybrid computational intelligence algorithms: a comparative study M Sheikhan, M Abbasnezhad Arabi… – Connection …, 2015 – Taylor & Francis … López-Cózar, R., Silovsky, J., & Kroul, M. (2011). Enhancement of emotion detection in spoken dialogue systems by combining several information sources. … Enhancement of emotion detection in spoken dialogue systems by combining several information sources. … Related articles All 3 versions

Sound Source Localization and Separation K Nakadai, K Nakamura – Wiley Encyclopedia of Electrical and … – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Related articles

Methodology for emotional assessment of product design by customers in virtual reality J Katicic, P Häfner, J Ovtcharova – PRESENCE: Teleoperators and Virtual …, 2015 – MIT Press … 5.5 Results Analysis Significant features from the raw physiological data of zygomaticus major and corrugators supercilli activ- ities, as well as on blood volume pulse and electrodermal activity, were extracted using MATLAB. … In Affective dialogue systems (pp. 36– 48). … Related articles All 3 versions

Pareto efficiency in synthesizing shared autonomy policies with temporal logic constraints J Fu, U Topcu – … IEEE International Conference on Robotics and …, 2015 – ieeexplore.ieee.org … In the following context, we refer to the autonomous controller simply as the controller. In the shared autonomy system, the interaction between the controller and the operator is often made through a dialogue system [17]. The … Cited by 1 Related articles All 7 versions

Bottom–Up Learning of Hierarchical Models in a Class of Deterministic Pomdp Environments H Itoh, H Fukumoto, H Wakuya… – International Journal of …, 2015 – degruyter.com Page 1. Int. J. Appl. Math. Comput. Sci., 2015, Vol. 25, No. 3, 597–615 DOI: 10.1515/amcs-2015-0044 BOTTOM–UP LEARNING OF HIERARCHICAL MODELS IN A CLASS OF DETERMINISTIC POMDP ENVIRONMENTS HIDEAKI … Related articles All 11 versions

Fundamentals Tools of Modern Multilingual Speech Processing Technology in “Urdu” langauage Speech Processing MW Ashfaque, QN Naveed, SS Banu, QSSA Ahmed – ijaiem.org … According to past literature reviews, three applications including spoken dialogue systems, speech translation, and speaker recognition have been explored. It is noted that the speaker recognition issue is not particularly language-dependent. … Related articles

Fast single-and cross-show speaker diarization using binary key speaker modeling H Delgado, X Anguera, C Fredouille… – IEEE/ACM Transactions …, 2015 – dl.acm.org … discriminative training approaches [15]. GMMs and metrics 1The Matlab code of the single-session binary key speaker diarization system can be downloaded at http://hectordelgado.me/software like Bayesian Information Criterion … Cited by 3 Related articles All 5 versions

Improving the performance against force variation of emg controlled multifunctional upper-limb prostheses for transradial amputees A Al-Timemy, R Khushaba, G Bugmann, J Escudero – 2015 – ieeexplore.ieee.org … Middle).Medium force. Bottom) High force. D. EMG pattern recognition Analysis MATLAB® 2013a software (Mathworks, USA) was used to perform the analyses. An overlapped segmentation scheme was used with 150 ms segment length and 50 ms segment overlap. … Cited by 6 Related articles All 5 versions

Evolution of reflexive signals using a realistic vocal tract model AS Warlaumont, AM Olney – Adaptive Behavior, 2015 – adb.sagepub.com … the vocalization synthesizer, the result- ing sound waveform was transformed into a mel-scale power spectrogram with two time bins and three fre- quency bins ranging from 20 to 2000 Hz and centered at 433, 846.1, and 1306.3 Hz, using Ellis’s toolbox for MATLAB (Ellis, 2007). … Related articles All 3 versions

Event Fixation Related Potential During Visual Emotion Stimulation PBV MI?ÁNKOVÁ, T POTO??ÁK – core.ac.uk … zabarveném stimulu, kterým je obrázek ?i video, a EEG signálu. K tomuto studiu je t?eba vyvinout softwarové nástroje v prost?edí Matlab k úprav? a zpracování dat získaných z … For this study certain software developments need to be done to adjust fixation data in Matlab and … Related articles All 2 versions

Modelling environmental and cognitive factors to predict performance in a stressful training scenario on a naval ship simulator I Cohen, WP Brinkman, MA Neerincx – Cognition, Technology & Work, 2015 – Springer … ready for analysis. 4.1 Data preparation. The ECG data, as collected with the mobi8 from TMSi, were converted into heart rate (HR) and heart rate variability (HRV) per minute, using Matlab R2011a (The Mathworks). The signal … Cited by 2 Related articles All 12 versions

Schultink Lecture LOT Winter school by Evelina Fedorenko, Amsterdam, January 21 2015 LOT Schools, KV Taalwetenschappen – Links, 2015 – lotschool.nl … We are seeking a candidate with strong knowledge in experimental and/or cognitive neuroscience. It is beneficial to have expertise in EEG/MEG or neuroimaging, knowledge in programming in Matlab and a background in biomedical signal processing. … Related articles

Evaluating a sensor of skin conductance to assess dental anxiety PJA Peres – 2015 – repositorio.ul.pt Page 1. Universidade de Lisboa Faculdade de Ciências Departamento de Informática Evaluating a sensor of skin conductance to assess dental anxiety Mestrado em Bioinformática e Biologia Computacional Especialização em Bioinformática Pedro José Abrantes Peres … All 3 versions

Hierarchical Bayesian Inverse Reinforcement Learning J Choi, KE Kim – IEEE transactions on cybernetics, 2015 – ieeexplore.ieee.org Page 1. This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON CYBERNETICS 1 Hierarchical Bayesian Inverse Reinforcement Learning … Related articles All 4 versions

Field Trials II Report SP AIT, JS AIT, KR AIT, EM AIT – 2015 – project-peacox.eu Page 1. Date: 31/03/2015 Dissemination level: (PU, PP, RE, CO): PU Project Co-Funded by the European Commission within the 7th Framework Program Peacox – Persuasive Advisor for CO2-reducing cross-modal trip planning Project Reference: 288466 … Related articles

ConWIZ: The contextual Wizard of Oz T Grill, O Polacek, M Tscheligi – Journal of Ambient …, 2015 – content.iospress.com … The Wizard of Oz method is still popular to test new dialog systems using automatic speech recognition [15,33,36]. Klemmer et al. … Research tools like MatLab [22] and Simulink [2]22 are often used to prototype complex study scenarios. … Related articles

[BOOK] Advances in Audio Watermarking Based on Singular Value Decomposition PK Dhar, T Shimamura – 2015 – Springer … Some of the topics covered in this series include the presentation of real life commercial deployment of spoken dialog systems, contemporary methods of speech parameterization, developments in information security for automated speech, forensic speaker recognition, use … Cited by 2 Related articles All 5 versions

open-Source Media Interpretation by Large feature-space Extraction F Eyben, F Weninger, M Wöllmer, B Schuller – academia.edu … 1.4 History openSMILE was originally created in the scope of the European EU-FP7 research project SE- MAINE (http://www.semaine-project.eu) and is used there as the acoustic emotion recogni- tion engine and keyword spotter in a real-time affective dialogue system. … Related articles All 2 versions

[BOOK] Advances in Artificial Intelligence and Its Applications: 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, … OP Lagunas, OH Alcántara, GA Figueroa – 2015 – books.google.com Page 1. Obdulia Pichardo Lagunas Oscar Herrera Alcántara Gustavo Arroyo Figueroa (Eds.) Advances in Artificial Intelligence and Its Applications 14th Mexican International Conference on Artificial Intelligence, MICAI 2015 … Related articles

The Creada, A New Pedagogical Center For Adults Informal Education. ML De Natale, C Simonetti – Mafalda Carmo, World Institute for …, 2015 – researchgate.net Page 204. THE CREADA, A NEW PEDAGOGICAL CENTER FOR ADULTS INFORMAL EDUCATION Maria Luisa De Natale1 & Cristiana Simonetti2 1Dipartimento di Pedagogia, Università Cattolica Sacro Cuore, Milano (Italy … Related articles All 2 versions

The Nao Robot as a Platform for Evolutionary Robotics SA Harestad – 2015 – duo.uio.no Page 1. The Nao Robot as a Platform for Evolutionary Robotics ()° .° Snorre Alm Harestad Master’s Thesis Spring 2015 Page 2. Page 3. The Nao Robot as a Platform for Evolutionary Robotics Snorre Alm Harestad 4th May 2015 Page 4. ii Page 5. Abstract … Related articles

Robust Speech Processing & Recognition: Speaker ID, Language ID, Speech Recognition/Keyword Spotting, Diarization/Co-Channel/Environmental Characterization … JH Hansen – 2015 – DTIC Document Page 1. ROBUST SPEECH PROCESSING & RECOGNITION: SPEAKER ID, LANGUAGE ID, SPEECH RECOGNITION/KEYWORD SPOTTING, DIARIZATION/CO- CHANNEL/ ENVIRONMENTAL CHARACTERIZATION, SPEAKER STATE ASSESSMENT … Related articles

Sentiment analysis of real-life situations using location, people and time as contextual features HJ Do, HJ Choi – 2015 International Conference on Big Data …, 2015 – ieeexplore.ieee.org … 164-168, July 2002. [4] T. Danisman, A. Alpkocak, “Emotion classification of audio signals using cnselnble of suPPOtt vcctor machines,” Perception in Multilllodal Dialogue Systems, pp. … Net, 2007. [18] Theodoros Giannakopoulos, “Matlab Audio Analysis Library,” 2014. … Related articles All 2 versions

[BOOK] Improving trainees’ performances while under stress using real-time feedback I Cohen – 2015 – repository.tudelft.nl Page 1. Improving trainees’ performances while under stress using real-time feedback Iris Cohen Page 2. Improving trainees’ performances while under stress using real-time feedback Proefschrift ter verkrijging van de graad van doctor aan de Technische Universiteit Delft, … Related articles All 2 versions

Sentiment Analysis of M&S Customers Reviews A Alharbi – 2015 – vlebb.leeds.ac.uk … Software scope: The following software is used in this project: Matlab version R2014b for data pre- processing purposes and Weka toolkit version 3.6. (with an additional external package for time series forecasting). 1.6. Relevance to degree … Related articles