MATLAB & Dialog Systems

Notes:

“sEnglish” is a way to represent MATLAB function calls using English sentences. The meaning of an English sentence in an sEnglish system is defined in a .sep file, which can contain either purely English sentences or a mixture of English and MATLAB code. The sEnglish system allows users to call MATLAB functions using natural language, rather than having to remember the specific syntax and function names. This can make it easier for users to work with the system and can make the code more readable and understandable to those who are not familiar with the underlying programming language.

Resources:

Wikipedia:

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

See also:

100 Best MATLAB Neural Network Videos | 100 Best MATLAB Robotics Videos | 100 Best MATLAB Simulink Videos | 100 Best MATLAB Voice Control Videos | Statistical Packages & Dialog Systems

Man-machine dialogue system optimization based on cloud computing
M Jin, H Wang, L Song, Y Li, Y Zeng – Personal and Ubiquitous …, 2018 – dl.acm.org
… of Computer Science and Technology, Tsinghua University voice technology center started to carry out man-machine dialog system research from the late … The experimental simula- tion is carried out by using MATLAB 2012a; 1684 segments of speech are selected from speech …

Improving goal-oriented visual dialog agents via advanced recurrent nets with tempered policy gradient
R Zhao, V Tresp – arXiv preprint arXiv:1807.00737, 2018 – arxiv.org
… TPG can easily be applied to any goal-oriented dialogue systems … Das et al. [2017] formulated a visual dialogue system which is about two chatbots asking and answering questions to identify a specific image within a group of im- ages …

Speech to speech interaction system using Multimedia Tools and Partially Observable Markov Decision Process for visually impaired students
S Lokesh, B Kanisha, S Nalini, MR Devi… – Multimedia Tools and …, 2018 – Springer
… This system is found to be a real-world example for POMDP dialogue system. This … methods. The Signal Processing Toolbox present in the Matlab environment for eliminating the Gaussian noise present in the input speech signal …

Learning goal-oriented visual dialog via tempered policy gradient
R Zhao, V Tresp – 2018 IEEE Spoken Language Technology …, 2018 – ieeexplore.ieee.org
… Index Terms— Goal-Oriented Dialog System, Deep Re- inforcement Learning, Recurrent Neural Network … Das et al. [7] formulated a visual dialogue system which is about two chatbots asking and answering questions to identify a specific image within a group of im- ages …

Multi-agent Robotic Systems in Collaborative Robotics
S Vorotnikov, K Ermishin, A Nazarova… – … Conference on Interactive …, 2018 – Springer
… intended for the implementation of the of the robot’s human-machine interfaces, such as remote telepresence system, speech dialogue system and graphic … has designed a software model for decentralized control of a group of mobile wheeled robots in the Matlab 1 environment …

Efficient Dialog Policy Learning via Positive Memory Retention
R Zhao, V Tresp – arXiv preprint arXiv:1810.01371, 2018 – arxiv.org
… Moreover, in a real-word visual object discovery game, the proposed method is twice as sample-efficient as policy gradi- ents and shows state-of-the-art performance. Index Terms— Goal-Oriented Dialog System, Deep Re- inforcement Learning, Recurrent Neural Network …

Efficient Visual Dialog Policy Learning via Positive Memory Retention
R Zhao, V Tresp – nips2018vigil.github.io
… [3] R. Collobert, K. Kavukcuoglu, and C. Farabet. Torch7: A matlab-like environment for machine learning … End-to-end optimization of goal-driven and visually grounded dialogue systems. In International Joint Conference on Artificial Intelligence (IJCAI), 2017 …

Prediction of Dialogue Success with Spectral and Rhythm Acoustic Features Using DNNS and SVMS
A Lykartsis, M Kotti, A Papangelis… – 2018 IEEE Spoken …, 2018 – ieeexplore.ieee.org
… Salvi, Gabriel Skantze, Alberto Abad, Joakim Gustafson, Fernando Batista, Raveesh Meena, and Isabel Trancoso, “Detecting repetitions in spoken dialogue systems using phonetic … [30] Peter Grosche and Meinard Müller, “Tempogram tool- box: Matlab implementations for …

Mathematical Modeling of The SIP Call
NM Ravonimanantsoa… – GSTF Journal on …, 2018 – dl6.globalstf.org
… Speech Based Dialog Query System over Asterisk PBX Server[3] Research entitled “Speech Dialog System based query over Asterisk PBX server” gives insight … After we obtained our graph was exported in the Matlab software has come for us to deduce a polynomial model with …

Adaptive neuro-fuzzy inference system for evaluating dysarthric automatic speech recognition (ASR) systems: a case study on MVML-based ASR
A Asemi, SSB Salim, SR Shahamiri, A Asemi… – Soft Computing, 2018 – Springer
… The proposed algorithm was deployed in MATLAB and employed to measure the performances of two dysarthric ARS systems based on MVML and MVSL active learning theories. The assessment results presented in this paper show the effectiveness of the developed method …

Impact of Temporary Link Blockage on Ergodic Capacity of FSO System
MI Petkovic, GT Djordjevic – ETRI Journal, 2018 – Wiley Online Library
… Monte Carlo simulations are performed in Matlab on the basis of 10 9 generated samples as follows … work was supported by the Ministry of Education, Science and Technology Development of the Republic of Serbia (TR?32035 – “Development of dialogue systems for Serbian …

Turn-Taking Predictions across Languages and Genres Using an LSTM Recurrent Neural Network
NG Ward, D Aguirre, G Cervantes… – 2018 IEEE Spoken …, 2018 – ieeexplore.ieee.org
… 1909–1913, 2017. [12] Angelika Maier, Julian Hough, and David Schlangen, “Towards deep end-of-turn prediction for situated spo- ken dialogue systems,” in Interspeech, 2017 … [20] Mike Brooks, “Voicebox: Speech processing tool- box for Matlab,” http://www.ee.ic.ac.uk/hp/staff …

A survey on deep learning toolkits and libraries for intelligent user interfaces
J Zacharias, M Barz, D Sonntag – arXiv preprint arXiv:1803.04818, 2018 – arxiv.org
… The GitHub repository24 contains pre-trained models, the Python code to perform predictions and matlab sources for the multiscale … In [19, 54] a deep reinforcement learning system for optimis- ing a visually grounded goal-directed dialogue system was implemented using …

Anticipation in speech-based human-machine interfaces
S Ondáš, J Juhár, E Kiktová… – 2018 9th IEEE …, 2018 – ieeexplore.ieee.org
… The second classifier uses adaptive neurofuzzy learning method (ANFIS Matlab) … of dialogue history, which can be successfully used to predict interlocutor next speech act (see [5]). All mentioned facts supports idea of so called „incremental Spoken Dialogue Systems“ (see eg …

T2S: An Encoder-Decoder Model for Topic-Based Natural Language Generation
W Ou, C Chen, J Ren – International Conference on Applications of Natural …, 2018 – Springer
… Natural language generation (NLG) plays a critical role in various applications such as response generation in dialogue systems [17, 20, 21] … Table 1. Examples of sentences based on topics “matlab” and “mac os” generated by T2S model trained on StackOverflow dataset …

A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science
RJL John, JM Patel, AL Alexander, V Singh… – … Conference on Medical …, 2018 – Springer
… We note that such capabilities augment (not replace) already publicly available tools such as Matlab, DLTK and NiftyNet for applying deep learning in neuroimaging and … Williams, J., Kamal, E., et al.: Fast and easy language understanding for dialog systems with Microsoft LUIS …

Application of visual speech synthesis in therapy of auditory verbal hallucinations
K Sorokosz – 2018 International Interdisciplinary PhD …, 2018 – ieeexplore.ieee.org
… 74–80, 2016. [7] WP Brinkman, D. Hartanto, N. Kang, D. de Vliegher, IL Kampmann, N. Morina, PGM Emmelkamp, and M. Neerincx, “A virtual reality dialogue system for the … [14] D. Ellis, “Time-frequency automatic gain control,” https://labrosa.ee.columbia.edu/matlab/tf agc 2010 …

On-Talk and Off-Talk Detection: A Discrete Wavelet Transform Analysis of Electroencephalogram
F Haider, H Akira, S Luz, C Vogel… – … on Acoustics, Speech …, 2018 – ieeexplore.ieee.org
… The EEG signal (S) is decomposed into 11 components us- ing the Discrete Wavelet Transform (DWT) using MATLAB,2 where S = d1 + d2 + d3 + … 2http://uk.mathworks.com/products/matlab/ – last verified 10/2017 3http://scikit-learn.org/stable/ – last verified 10/2017 …

Exploring hashing and cryptonet based approaches for privacy-preserving speech emotion recognition
M Dias, A Abad, I Trancoso – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… ”Let’s Go” [15] is a public dialog system that provides the … The SMH hashes were computed using MATLAB for different percentages of leakage, values of bpc/mpc and values of k. After- wards, these hashes were used for training and classification on the modified SVM model …

MEC 2017: Multimodal emotion recognition challenge
Y Li, J Tao, B Schuller, S Shan… – 2018 First Asian …, 2018 – ieeexplore.ieee.org
… With the development of artificial intelligence, there is an explosion of interest in realizing more natural human-computer dialogue systems … As for LBPTOP, we utilize the open-source Matlab code created by Huang based on [26]. Fig. 2. Three dimensions of LBPTOP. IV …

CONSTRUCTING PERSONALIZED MESSAGES FOR INFORMING CYBER-PHYSICAL SYSTEMS BASED ON DYNAMIC CONTEXT INFORMATION …
Y Li, I Horváth, Z Rusák – 2018 – researchgate.net
Page 1. Proceedings of TMCE 2018, 7-11 May, 2018, Las Palmas de Gran Canaria, Spain, edited by I. Horváth and JP Suárez © Organizing Committee of TMCE 2018, ISBN —- 1 CONSTRUCTING PERSONALIZED MESSAGES …

Inverse Reinforcement Learning based Human Behavior Modeling for Goal Recognition in Dynamic Local Network Interdiction
Y Zeng, K Xu, Q Yin, L Qin, Y Zha, W Yeoh – Workshops at the Thirty …, 2018 – aaai.org
… Senthilkumar Chandramohan, Matthieu Geist, Fabrice Lefevre, and Olivier Pietquin. User simulation in dialogue systems using inverse reinforcement learning … Cognitive science, 11(2):163–200, 1987. Johan Lofberg. Yalmip: A toolbox for modeling and op- timization in matlab …

Multimodal Attention Agents in Visual Conversation
L Kodra, EK Meçe – … Conference on Emerging Internetworking, Data & …, 2018 – Springer
… CVPR (2017)Google Scholar. 4. Strub, F., de Vries, H., Mary, J., Piot, B., Courville, A., Pietquin, O.: End-to-end optimization of goal-driven and visually grounded dialogue systems … Collobert, R., Kavukcuoglu, K., Farabet, C.: Torch7: a matlab-like environment for machine learning …

A User Study of a Humanoid Robot as a Social Mediator for Two-Person Conversations
Y Tahir, J Dauwels, D Thalmann… – International Journal of …, 2018 – Springer
… The results of this paper pave the way to natural human–robot interactions for social mediators in multi-party dialog systems. Keywords … sociometrics. We performed these calculations in Matlab on a 2 GHz dual-core processor with 2GB RAM …

Detecting memory-based interaction obstacles with a recurrent neural model of user behavior
F Putze, M Salous, T Schultz – 23rd International Conference on …, 2018 – dl.acm.org
… 2010. A working memory test battery for MATLAB. Behavior Research Methods 42, 2 (2010), 571–585. 18 … JAM: Java-based Associative Memory. In Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop. Springer, 143–155. 20 …

Predicting Engagement Breakdown in HRI Using Thin-Slices of Facial Expressions
T Liu, A Kappas – Workshops at the Thirty-Second AAAI Conference on …, 2018 – aaai.org
… Our experiment have been carried out using MATLAB (release R2014b for Macintosh) on a 2GHz In- tel Core i7 Macintosh notebook computer with 8 GB RAM … Learning to predict en- gagement with a spoken dialog system in open-world set- tings …

A Review on Emotion Recognition Algorithms Using Speech Analysis
TS Gunawan, MF Alghifari, MA Morshidi… – Indonesian Journal of …, 2018 – researchgate.net
… Total 10; 527 real-traffic Mandarin usable utterances from a Microsoft spoken dialogue system. Neutral, happy, sad, angry … Further research includes implementation of the proposed SER system using Matlab and performance evaluation and benchmarking …

Analysis of facial features for the use of emotion recognition
M Kolodziej, A Majkowski, RJ Rak… – 19th International …, 2018 – ieeexplore.ieee.org
… In the first, an implementation of the algorithm in the Matlab environment was used, with a build-in database of training … P. Schaich, and J. Williams, “Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System,” in Affective Dialogue Systems, 2004, pp …

Hand Gesture Interface based on Skin Detection Technique for Automotive Infotainment System
AG Buddhikot, NM Kulkarni… – International Journal of …, 2018 – mecs-press.org
… detection. Manju, Deepika et al. [39] have utilized the CIELab color space for hand gesture detection. The system has provided real time response with MATLAB software. The comparative summary of prominent color Page 5 …

Speech Emotion Recognition Using Cross-Correlation and Acoustic Features
J Chatterjee, V Mukesh, HH Hsu… – 2018 IEEE 16th Intl …, 2018 – ieeexplore.ieee.org
… A variety of classifiers are used through the MATLAB classification learner toolbox, and an accuracy of 91.3% is achieved … of human speech emotions plays an intrinsic role in intelligent robots, smart household appliances, driverless cars, automatic dialog systems, camera-less …

A Fuzzy Logic Based Approach for the monitoringof Open Switch Fault in a SVM Voltage SourceInverter fed Induction Motor Drive
H MERABET, T Bahi, K BEDOUD… – J. Automation & Systems …, 2018 – library.crti.dz
… The models based on artificial intelligence approach as well as the overall model are implemented by using MATLAB®/SIMULINK software. 2. SVM-VSIINDUCTION MACHINE MODELLING … Each limit in T (CMI) is characterized by a fuzzy subset. The dialog system CMI …

Support Region of Semilogarithmic Quantizer for Laplacian Source
ZH Peric, SB Suzic, TV Delic, N Simic – Elektronika ir Elektrotechnika, 2018 – eejournal.ktu.lt
… The research was conducted within the project “Development of Dialogue Systems for Serbian and Other South Slavic Languages” (TR32035), financed by Ministry of Education, Science and … Optimal values for these parameters are numerically calculated using MATLAB …

Optimizing maintenance decisions in railway wheelsets: A Markov decision process approach
JAP Braga, AR Andrade – … Engineers, Part O: Journal of Risk …, 2018 – journals.sagepub.com
This article models the decision problem of maintaining railway wheelsets as a Markov decision process, with the aim to provide a way to support condition-based…

Automatic Web-Based Question Answer Generation System for Online Feedable New-Born Chatbot
SA Abdul-Kader, J Woods, T Thabet – Science and Information Conference, 2018 – Springer
… To build a dialogue system (Chatbot) program, one of the most essential requirements is to design a sufficiently detailed database for that … Precision calculation results have been recorded and then entered into a MATLAB program to produce comparative bar graphs between …

Breathe Deep: A Breath-Sensitive Interactive Meditation Coach
A Shamekhi, T Bickmore – Proceedings of the 12th EAI International …, 2018 – dl.acm.org
… The agent dialog system allows users to signal that they are ready to continue by simply taking a deep breath … The peaks were detected using the “findpeaks” function in MATLAB, using thresholds for peak distance and prominence based on the signal’s features …

A globally generalized emotion recognition system involving different physiological signals
M Ali, F Al Machot, A Haj Mosa, M Jdeed, E Al Machot… – Sensors, 2018 – mdpi.com
Machine learning approaches for human emotion recognition have recently demonstrated high performance. However, only/mostly for subject-dependent approaches, in a variety of applications like advanced driver assisted systems, smart homes and medical environments. Therefore …

Gender and Emotion Recognition Using Voice
P Rani, M Geeta – csjournals.com
… Voice recognition can be used in artificial intelligent systems. In general identification of a speaker gender is important for increasingly natural and personalized dialogue systems. RELATED WORK … Also contains functions ported from the ‘rastamat’ ‘Matlab’ package …

Emotional ratings and skin conductance response to visual, auditory and haptic stimuli
E Gatti, E Calzolari, E Maggioni, M Obrist – Scientific data, 2018 – nature.com
… We provide the results of our study in the form of a MATLAB structure including basic demographics on the participants, the participant’s self-assessment of his/her emotional state, and his/her physiological reactions (ie, skin conductance) … su.demographic =1X4 MATLAB vector …

An introduction to neural information retrieval
B Mitra, N Craswell – Foundations and Trends® in Information …, 2018 – nowpublishers.com
… In: Proc. SIGIR. ACM. Collobert, R., K. Kavukcuoglu, and C. Farabet. 2011a. “Torch7: A matlab-like environment for machine learning”. In: BigLearn, NIPS Workshop. No. EPFL-CONF-192376. Collobert, R., J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and P. Kuksa …

Identification of Multimodal Signals for Emotion Recognition in the Context of Human-Robot Interaction
AK Pérez, CA Quintero, S Rodríguez, E Rojas… – … on Intelligent Computing …, 2018 – Springer
… This work is developed under a RDS (Robotics Dialog System) and implements two modules for emotion recognitions, one for the voice (GEVA … architecture shown in [15], where a similar problem is solved using CNNs, and implemented it using the Matlab toolbox MatConvNet …

Context dependent and time-course dependent prosodic analysis
V Silber-Varod, HKN Amir – … International Symposium on Tonal Aspects of … – isca-speech.org
… These acoustic features were calculated using custom written MATLAB software, apart from jitter and spectral slope, which were calculated … modifications in models of Prosodic Hierarchy ([2] and [3]). Our findings suggest that speech-based dialogue systems, typically designed …

EASA: Environment Aware Social Agent
H Cakmak, K El Haddad, N Riche, J Leroy… – researchgate.net
… Finally, a Matlab toolbox has been coded to ease the visualization of the data available with examples of usage … Many SCE were collected and annotated. A Matlab toolkit has also been developed to ease the navigation and the visualization of the database …

Adjustment of Medical Observations Influenced by Emotional State
F Zekri, AS Ellouze, R Bouaziz – International Journal of Synthetic …, 2018 – igi-global.com
… torepresentmappingsfromfourteenmeasurablehumanfactorstotwenty-twodifferent emotions.Theauthorsof(Quesada-Tabaresetal.,2017)usedadevicecalledNeuroskyMaindwave device,whichhasasingleelectrodetoacquiretheEEGsignal.TheyalsousedMatlabsoftware and …

Automated classification of classroom climate by audio analysis
A James, VYH Chua, T Maszczyk, AM Nunez… – … Spoken Dialog System …, 2018 – colips.org
… IEEE Transactions on Audio, Speech, and Language Processing, 2012. 20(2): p. 356-370. 9. Giannakopoulos, T. and A. Pikrakis, Introduction to Audio Analysis: A MATLAB Approach. 2014, Oxford: Academic Press. 10. Meignier, S. and T. Merlin …

Social Communicative Events in Human Computer Interactions
K El Haddad, H Cakmak, M Doumit, G Pironkov… – researchgate.net
… Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. [19] S. Fujie, K. Fukushima, and T. Kobayashi, “Back-channel feedback gen- eration using linguistic and nonlinguistic information and its application to spoken dialogue system.” in INTERSPEECH, 2005, pp. 889–892 …

A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
F Noroozi, M Marjanovic, A Njegus, S Escalera… – arXiv preprint arXiv …, 2018 – arxiv.org
… applied. The FBEs have been used in studies such as [63] in order to perform vocal emotion recognition. For extracting the features, we use signal processing tech- niques implemented in MATLAB and PRAAT software [64]. It …

A Fast Adaptation Approach for Enhanced Automatic Recognition of Children’s Speech with Mismatched Acoustic Models
S Shahnawazuddin, R Sinha – Circuits, Systems, and Signal Processing, 2018 – Springer
… For sampling rate conversion, the resample function of the MATLAB\(^{\tiny {\textregistered }}\) is employed. Table 1 … (^{a}\) Computed for 64-bit MATLAB (R2010b) and HTK (ver. 3.4.1) running single threaded programs on Intel i5-2450M 4-core, 2.50 GHz CPU with 4 GB RAM …

Logographic Subword Model for Neural Machine Translation
Y Fang, R Zheng, X Zhu – arXiv preprint arXiv:1809.02592, 2018 – arxiv.org
… It is promising for reducing the complexity of other computationally expensive NLP problems with potential impact on large-dictionary real-time offline applications such as translation or dialog systems on offline mobile … Torch7: A matlab-like environment for machine learning …

Smart Machines, Remote Sensing, Precision Farming, Processes, Mechatronic, Materials and Policies for Safety and Health Aspects
A Colantoni, D Monarca, V Laurendi, M Villarini… – 2018 – mdpi.com
… The objectives of this special issue are: study of man–machine dialogue systems; analysis on towed or carried machines: forestry chippers, manure spreaders, round … Image data was processed through an algorithm created in MATLAB ® (The MathWorks, Inc., Natick, MA, USA) …

Recurrence Quantification Models of Human Conversational Grounding Processes: Informing Natural Language Human-Computer Interaction
CD Rothwell – 2018 – rave.ohiolink.edu
… Conversational grounding is also a crucial process for human-computer interaction using language-based methods, such as spoken dialogue systems … 2013, 2004; Clark and Krych, 2004), making it a high priority for increasing capabilities of spoken dialogue systems …

Deep Learning Methods for Perception and Navigation of Service Robots
??? – 2018 – s-space.snu.ac.kr
… included in the pipeline. One can use different languages (C, Python, Matlab) or APIs (OpenCV … assistance, or describing an unknown person in a specific area. Combined with navigation or dialog systems, IPSRO can be used in various …

Behaviour-Based Working Memory Capacity Classification Using Recurrent Neural Networks
M Salous, F Putze – csl.uni-bremen.de
… A work- ing memory test battery for matlab. Behavior Research Methods, 42(2):571–585, 2010 … Jam: Java-based associative memory. In Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop, pages 143–155. Springer, 2011 …

Game Audio Programming 2: Principles and Practices
G Somberg – 2018 – books.google.com
Page 1. Page 2. Game Audio Programming 2 Page 3. Game Audio Programming 2 Principles and Practices Edited by Guy Somberg Page 4. CRC Press Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca …

Accurate fall detection in a top view privacy preserving configuration
M Ricciuti, S Spinsante, E Gambi – Sensors, 2018 – mdpi.com
… An Efficient Framework for Development of Task-Oriented Dialog Systems in a Smart Home Environment. Choose your preferred view mode … The data were processed using Matlab programming environment, in particular to extract the classification process outcomes. 3.3 …

Inferring the Climate in Classrooms from Audio and Video Recordings: A Machine Learning Approach
A James, M Kashyap, YHV Chua… – … , and Learning for …, 2018 – ieeexplore.ieee.org
… of 9th Int. Wor>shop on Spo>en Dialogue Systems Technology (IWSDS2018), 2018, pp.1–8. [16] T. Gianna>opoulos and A. Pi>ra>is, “Introduction to Audio Analysis: A MATLAB Approach,” 2014, Oxford: Academic Press. [17] S. Meignier, and T. Merlin …

Adaptive Template-Based Front End for Tone Language Speech Synthesis
ME Ekpenyong – Human Language Technologies for Under-Resourced …, 2018 – Springer
An adaptive template-based approach to speech synthesis front end design for tone language systems is proposed in this Chapter. The chapter is divided into four sections. The first section provides an.

Active Collaboration of Classifiers for Visual Tracking
K Meshgi, S Oba – Human-Robot Interaction-Theory and …, 2018 – intechopen.com
… in many high-level complicated tasks of the robot: automating industrial workcells [1], attending the speaker in a multimodal spoken dialog system [2], following … 1000, ? = 0.34 T1 achieved the speed of 47.29 fps on a Pentium IV PC @ 3.5 GHz and a Matlab/C++ implementation …

Producing Acoustic-Prosodic Entrainment in a Robotic Learning Companion to Build Learner Rapport
N Lubold – 2018 – search.proquest.com
… i ABSTRACT With advances in automatic speech recognition, spoken dialogue systems are assuming increasingly social roles … Rapport between people promotes successful collaboration, motivation, and task success. Dialogue systems which can build rapport with their user …

Biomimetic adaptive impedance control in physical Human Robot Interaction
J Buzzi, A Passoni, G Mantoan… – 2018 7th IEEE …, 2018 – ieeexplore.ieee.org
… difference procedure ? = 0.05 ). All the inferential statistic analysis were conducted with the Statistics and Machine Learning Toolbox for Matlab 2017b (Mathworks, Natick, Massachusetts, US) III. RESULTS A. Stiffness Estimation …

Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model
KY Huang, CH Wu, MH Su… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
Page 1. 1949-3045 (c) 2018 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 …

A Non-Linguistic Approach for Human Emotion Recognition from Speech
E Spyrou, I Vernikos, R Nikopoulou… – 2018 9th International …, 2018 – ieeexplore.ieee.org
… For the vocabulary size, we used N = 100, 200,…, 1500. The BoVW model has been implemented using the Computer Vision Toolbox of Matlab R2016a [36] … In Tutorial and research workshop on affective dialogue systems (pp. 36-48). Springer, Berlin, Heidelberg …

Direction of arrival estimation and localization of multi-speech sources
N Dey, AS Ashour – 2018 – 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 …

On infinitesimal and finite deformations in shape memory alloys
VP Panoskaltsis, LC Polymenakos, D Soldatos – Acta Mechanica, 2018 – Springer
… 67100 Xanthi, Greece E-mail: panoskaltsis@yahoo.com LC Polymenakos Cognitive Dialog Systems, IBM Watson, Yorktown Heights, NY, USA Page 2. VP Panoskaltsis et al. have proposed models based on nonlinear elasticity …

Nonlinear semi-supervised metric learning via multiple kernels and local topology
X Li, Y Bai, Y Peng, S Du, S Ying – International journal of neural …, 2018 – World Scientific
Page 1. International Journal of Neural Systems, Vol. 28, No. 2 (2018) 1750040 (22 pages) c© World Scientific Publishing Company DOI: 10.1142/S012906571750040X Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology …

Developing an Affect-Aware Rear-Projected Robotic Agent
A Mollahosseini – 2018 – digitalcommons.du.edu
… 2- Creating an Affect-Aware Robot: Finally, we integrated our automated FER sys- tem into the spoken dialog system of our robotic platform to extend and enrich the capabil- ities of ExpressionBot beyond spoken dialog and create an affect-aware robotic agent that …

Learning socio-communicative behaviors of a humanoid robot by demonstration
DC Nguyen – 2018 – hal.archives-ouvertes.fr
Page 1. HAL Id: tel-01962544 https://hal.archives-ouvertes.fr/tel-01962544 Submitted on 20 Dec 2018 HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not …

Contrastive Explanation for Machine Learning
MJ Robeer – 2018 – dspace.library.uu.nl
Page 1. Page 2. Page 3. Master Thesis Business Informatics Contrastive Explanation for Machine Learning Marcel Jurriaan Robeer Department of Information and Computing Sciences July 2018 Supervisors dr. MJS Brinkhuis Utrecht University dr. ir …

Ship operational performance modelling for voyage optimization through fuel consumption minimization
M Chaal – 2018 – commons.wmu.se
… 45 Figure 5-1 Decision Tree, AdaBoost and KNN Predictive performances, Python … 51 Figure 5-2 ANN Predictive performance, MATLAB ….. 51 Figure 5-3 Plot of predicted fuel mass flow and the real fuel mass flow with KNN 52 …

Advance compression and watermarking technique for speech signals
R Thanki, K Borisagar, S Borra – 2018 – 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 …

Computational Modeling and Experimental Research on Touchscreen Gestures, Audio/Speech Interaction, and Driving
H Jeong – 2018 – deepblue.lib.umich.edu
… human subjects. Audio/Speech interaction: Many spoken dialogue systems have been developed as both … One of the successful uses of spoken dialogue systems is automotive navigation systems with conversational speech interactions …

Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and Biomedical Sensors
F Abtahi – 2018 – academicworks.cuny.edu
Page 1. City University of New York (CUNY) CUNY Academic Works Dissertations, Theses, and Capstone Projects Graduate Center 2-2018 Multimodal Sensing and Data Processing for Speaker and Emotion Recognition using Deep Learning Models with Audio, Video and …

Wearable Technologies in Organizations: Privacy, Efficiency and Autonomy in Work
A Przegalinska – 2018 – books.google.com
Page 1. Wearable Technologies in Organizations Privacy, Efficiency and Autonomy in Work Aleksandra Przegalinska Page 2. Wearable Technologies in Organizations “Przegalinska’s solid academic insight into the pros and …

Real-time Face Detection and Recognition Based on Deep Learning
H Wang – 2018 – aut.researchgateway.ac.nz
Page 1. Real-Time Face Detection and Recognition Based on Deep Learning Hui Wang A thesis submitted to Auckland University of Technology in partial fulfillment of the requirements for the degree of Master of Computer and Information Sciences (MCIS) …

I-CARE
EMTI zur Individuellen, AM mit Demenz – Zukunft der Pflege … – researchgate.net
… JAM: Java-based Associative Memory. In: Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop. pp. 143—155 … 735-738. [12] Mikut, R. et al.(2017). The MATLAB Toolbox SciXMiner: User’s Manual and Programmer’s Guide …

Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces
M Mancas, C Frisson, J Tilmanne… – arXiv preprint arXiv …, 2018 – arxiv.org
… The MOCAP toolbox [8] is among these tools, giving access to many high-level processing functions, but it is only available for Matlab and therefore not very suitable for real-time, iterative and interactive testing and performance …

Capturing the effect of personality on teams with agent-based modelling
M Farhangian – 2018 – ourarchive.otago.ac.nz
Page 1. CAPTURING THE EFFECT OF PERSONALITY ON TEAMS WITH AGENT-BASED MODELLING Mohammad Mehdi Farhangian a thesis submitted for the degree of Doctor of Philosophy at the University of Otago, Dunedin, New Zealand. July 2018 Page 2. ii Abstract …

Artificial Intelligence And Machine Learning And Marketing Management
J Seligman – 2018 – books.google.com
Page 1. ARTIFICIAL |NTELLIGENCE – MACHINE LEARNING AND MARKETING MANAGEMENT James Seligman Page 2. ARTIFICIAL INTELLIGENCE + MACHINE LEARNING in MARKETING MANAGEMENT By James Seligman …

Image Processing Technologies
K AlZAWA – content.taylorfrancis.com
… 21. Watermarking Systems Engineering: Enabling Digital Assets Security and Other Applications, Mauro Barni and Franco Bartolini 22. Biosignal and Biomedical Image Processing: MATLAB-Based Applications, John L. Semmlow 23 …

Part IX Poster Session 1
E Borg, J Sundell – Proceedings of Fechner Day, 2018 – ispsychophysics.org
Page 1. Part IX Poster Session 1 99 Page 2. Page 3. SCALING DEPRESSION WITH PSYCHOPHYSICAL SCALING: A COMPARISON BETWEEN THE BORG CR SCALE R O (CR100, CENTIMAX R O) AND PHQ-9 ON A NON-CLINICAL SAMPLE …

Parametric dependencies of sliding window correlation
S Shakil, JC Billings, SD Keilholz… – IEEE Transactions on …, 2018 – ieeexplore.ieee.org
Page 1. 0018-9294 (c) 2017 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 …