MATLAB & Dialog Systems 2012


References:

  • Confidence Measures for Spoken Dialog Systems (2012)

See also:

MATLAB & Dialog Systems 2011 | MATLAB & Dialog Systems 2013MATLAB & Dialog Systems 2014


Incorporating ASR information in spoken dialog system confidence score J Lopes, M Eskenazi, I Trancoso – Computational Processing of the …, 2012 – Springer … Incorporating ASR Information in Spoken Dialog System Confidence Score … MaxEnt) method we have used MegaM[9], for prior-weighted Logistic Regression we have used FoCal [10] with 0.5 prior and Stepwise regres- sion functions available in MATLAB’s statistical toolbox to … Cited by 2 Related articles All 4 versions Cite

Learning When to Listen: Detecting System-Addressed Speech in Human-Human-Computer Dialog. E Shriberg, A Stolcke… – …, 2012 – 20.210-193-52.unknown.qala.com. … … Dialogue Systems Supporting Mixed Teams of Humans and Robots, Proc. … Proc. Interspeech, pp. 709-712, 2011. [10] NC Yoder, PeakFinder (Matlab program), http://www.mathworks. com/ matlabcentral/fileexchange/25500- peakfinder, 2011. … Cited by 4 Related articles All 6 versions Cite

Towards speaker detection using lips movements for humanmachine multiparty dialogue F Haider, S Al Moubayed – FONETIK 2012, 2012 – ling.gu.se … This becomes even more demanding if the dialogue system is an embodied system – communicating with the subjects using a human-like face and/or body, such as the KTH Furhat robot head (Al Moubayed … The MATLAB neural network tool box is used for simulation of network … Cited by 2 Related articles All 4 versions Cite

Feasibility Comparison of Compression and Solving Approaches on POMDPs for Spoken Dialog Systems W TANG – 2012 – macs.hw.ac.uk … Moreover, in the future work, I aim at adopting these algorithms into a practical POMDP-based spoken dialogue system that has a very big state and real user evaluation will be conducted as well. … to implement these compression algorithms successfully using MATLAB. … Related articles Cite

A Spoken Dialogue System Based on FST and DBN L Fan, D Yu, X Peng, S Lu, B Xu – Natural Language Processing and …, 2012 – Springer … IEEE Transactions on Speech and Audio Processing, 11–23 (2000) 5. Williams, JD, Young, S.: Partially observable Markov decision processes for spo- ken dialog systems. … Cambridge University Engineering Department (2009) 12. Murphy, K.: The Bayes Net Toolbox for Matlab. … Cited by 1 Related articles All 3 versions Cite

Confidence Measures for Spoken Dialog Systems PS Jawale – 2012 – ee.iitb.ac.in Page 1. © Copyright 2012, Pranav Jawale Confidence Measures for Spoken Dialog Systems Submitted in partial fulfilment of the requirements for the degree of … Page 2. ii | Page Dissertation Approval This dissertation entitled Confidence Measures for Spoken Dialog Systems by … Related articles Cite

Understanding user state and preferences for robust spoken dialog systems and location-aware assistive technology WWPL Li – 2012 – dspace.mit.edu Page 1. Understanding User State and Preferences for Robust Spoken Dialog Systems and Location-Aware Assistive Technology by Williarn Li BASc. … devices. 2.2 Spoken Dialog Systems A spoken dialog system (SDS) is an agent that interacts with the end-user who uses … Cited by 1 Related articles All 5 versions Cite

Development of an office delivery robot with multimodal human-robot interactions JH Jean, CF Wei, ZW Lin… – SICE Annual Conference ( …, 2012 – ieeexplore.ieee.org … Figure 10 shows examples of the output patterns of three microphone modules plotted in Matlab software tool. … mainly focusing on developing sensory input/output sys- tems and actuation systems for the robot, including speech recognition and dialogue system, head gesture … Cited by 1 Related articles Cite

Humanoid Robot Telling the Object’s Place MS El Sayed, MH Awadalla, HEI Ali, RFA Mostafa – caesjournals.org … Thus, the dialogue system should conduct dialogue strategies for learning in such way that the Page 2. Saad et. al. … The vision system procedure: 1) Acquiring image Images taken from the robot’s camera can easily be fed to Matlab program using the ‘videoinput’ function. … Related articles All 2 versions Cite

Interactive Learning for Humanoid Robot M El Sayed, MH Awadalla, HEI Ali, RFA Mostafa – 2012 – ijcsi.org … Thus, the dialogue system needs to conduct dialogue strategies for learning in such way that the information about the object can successfully be … The vision system procedure: a- Acquiring image, Images taken from the robot’s camera can easi- ly be fed to Matlab program using … Related articles All 3 versions Cite

Voice-Based Humanoid Robot Interaction MS El Sayed, MH Awadalla, HEI Ali, RFA Mostafa – 2012 – ijsce.org … Thus, the dialogue system should conduct dialogue strategies for learning in such way that the information about the object can successfully be commu … A- Acquiring image Images taken from the robot’s camera can easily be fed to Matlab program using the ‘videoinput’ function. … Related articles All 3 versions Cite

Implementing Virtual Agent as an Interface for Smart Home Voice Control. S Soda, M Nakamura, S Matsumoto, S Izumi… – APSEC, 2012 – cs.kobe-u.ac.jp … The voice recognizer analyzes the sampled voice using MatLab, and aggregates the 16ch into 1ch of high-quality voice … B. MMDAgent MMDAgent is an open-source toolkit to implement virtual agents for spoken dialog systems [5]. To represent the virtual agents, MMDAgent uses … Related articles All 4 versions Cite

An Arabic-English Interactive System (AEIS) AA Sakr – IJECCE, 2012 – interesjournal.org … Viterbi training is much faster than others like Baum- Welch approach (Beesley 2006). Viterbi is applied in dialogue systems, where desired semantic output is clearer. VTT systems must analyze the spectra and intensity of sound waves. Speech is digitized by AD conversion. … Related articles All 3 versions Cite

Object Manipulation Using a Humanoid Robot MS El Sayed, MH Awadalla, HEI Ali… – International Journal of …, 2012 – doaj.org … Thus, the dialogue system should conduct interaction strategies for learning in such way that the information about the object can successfully be … A. Acquiring Iimage Images taken from the robot’s camera can easily be fed to Matlab program using the ‘videoinput’ function. … Related articles All 2 versions Cite

Speech Recognition Neural Methods in E-learning Environments D Schiopu – International Journal of Computer Science – doaj.org … For an automated dialog system that is based on natural language processing, speech technology refers to vocal synthesis and speech … The application proposed in this paper was implemented in Matlab Neural Network Toolbox (MathWorks, 2004; 2010), for isolated spoken … Related articles All 4 versions Cite

Text independent language recognition system using DHMM with new features M Sadanandam, VK Prasad, V Janaki… – … (ICSP), 2012 IEEE …, 2012 – ieeexplore.ieee.org … Several applications use LIDs including global communications, call routing systems, multilingual dialog systems, multilingual translation systems etc. … Vector quantization with different codebook size of 32 and 64 is implemented using MATLAB. … Cited by 1 Related articles Cite

Text independent language recognition system for indic languages with new features M Sadanandam, A Nagesh, VK Prasad… – … (ICCIC), 2012 IEEE …, 2012 – ieeexplore.ieee.org … Several applications use LIDs including global communications, call routing systems, multilingual dialog systems, multilingual translation systems etc. … Vector quantization with different codebook size of 32 and 64 is implemented using MATLAB. … Related articles Cite

CAN-Bus Signal Analysis Using Stochastic Methods and Pattern Recognition in Time Series for Active Safety A Sathyanarayana, P Boyraz, Z Purohit… – Digital Signal Processing …, 2012 – Springer … Airline Dialog system (AA), lane change prompts (LP), common tasks (CT), sign reading (SR), music playing (MP), and two additional driver response–related tags, interrupted utterance (IU) and response delay (RD). UTDAT data annotation tool is written using the MATLAB GUI … Related articles All 4 versions Cite

Toward multilingual mechanized mathematics assistants J SALUDES, S XAMBÓ – Resúmenes del xiii Encuentro de Álgebra … – www-ma2.upc.edu … More specifically, we will have a closer look on multilingual mathematical dialog systems designed to teach students to solve and how to solve word … 6Aimed at “creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab”, Sage is the result of an on … Cited by 1 Related articles All 4 versions Cite

Application of neural networks in emotional speech recognition M Bojanic, V Crnojevic, V Delic – Neural Network Applications …, 2012 – ieeexplore.ieee.org … This work was supported in part by the project Development of Dialogue Systems for Serbian and Other South Slavic Languages (TR32035), funded by the Ministry of Education and … In this work, we used a neural network classifier from the MATLAB Neural Network Toolbox. … Cited by 4 Related articles Cite

A novel approach for emotion classification based on fusion of text and speech A Houjeij, L Hamieh, N Mehdi… – … (ICT), 2012 19th …, 2012 – ieeexplore.ieee.org … understand the human is the affective aspect of communication [2]. Many interesting applications exist in this domain such as spoken dialogue systems in call … all media files to wav (Waveform Audio File Format) since it has a better quality and it is easier to interact with MATLAB. … Cited by 1 Related articles Cite

Speaker Identification using Mel Frequency Cepstral Coefficient and BPNN K Dash, D Padhi, B Panda, S Mohanty – International Journal, 2012 – ijarcsse.com … The code is developed in the MATLAB environment and performs the identification satisfactorily. … Speaker verification integrated within a dialog system: If biometric authentication is desired in combination with a dialog system that performs automatic speech recognition, a third … Cited by 1 Related articles Cite

A Romanian Language Corpus for a Commercial Text-To-Speech Application MA Ordean, A Saupe, M Ordean, GC Silaghi… – Text, Speech and …, 2012 – Springer … Based on signals resulted from MATLAB processing and using PRAAT, we conducted an automated annotation and analysis of glottal … C., Popescu, V., Buzo, A., Petrea, CS, Ghelmez-Hanes, D.: Spontaneous speech recognition for romanian in spoken dialogue systems. … Related articles All 2 versions Cite

Combination Of Supervised Learning And Reinforcement Learning For Robot Navigation V Derhami, M Rezaeian – The International Conference on Informatics …, 2012 – sdiwc.net … 54 Page 7. 5 SIMULATION Several simulators are available for Khepera robot. KiKS Simulators is a Khepera robot simulator that was provided in MATLAB environment. Some of researchers have used it in the field of robot navigation [14]. We also use this simulator in this paper. … Related articles All 2 versions Cite

Emotion detection using relative amplitude-based features through speech K Mohan Kudiri, A Md Said… – Computer & Information …, 2012 – ieeexplore.ieee.org … Matlab software version 7 is used to read the speech file and remove pre-silence gap in the signal and noise (Fig. … 4. Ramo’n Lo’pez-Co’zar, Jan Silovsky and Martin Kroul, “Enhancement of Emotion Detection in Spoken Dialogue Systems by Combining Several Information … Related articles Cite

Bayesian network learning algorithm based on unconstrained optimization and ant colony optimization C Wang, S Liu, M Zhu – Systems Engineering and Electronics, …, 2012 – ieeexplore.ieee.org … distribution among a large number of variables and allows for perform- ing probabilistic inference with these variables [1]. BNs have been used in a wide variety of domains, including natural spoken dialog systems [2], medical … The algorithm was implemented by Matlab 7.0. … Related articles All 5 versions Cite

A novel MFCC approach for Speaker Identification using BPNN K Dash, S Sahu, BD Panda – rspublication.com … The code is developed in the MATLAB environment and performs the identification satisfactorily … In Speaker verification integrated within a dialog system, if biometric authentication is desired in combination with a dialog system that performs automatic speech recognition, a third … Related articles Cite

Autonomous navigation system using event driven-fuzzy cognitive maps M Mendonça, LVR de Arruda, F Neves Jr – Applied Intelligence, 2012 – Springer Page 1. Appl Intell (2012) 37:175–188 DOI 10.1007/s10489-011-0320-1 Autonomous navigation system using Event Driven-Fuzzy Cognitive Maps Márcio Mendonça · Lúcia Valéria Ramos de Arruda · Flávio Neves Jr. Published … Cited by 8 Related articles All 6 versions Cite

Interactive systems and affective science S Mayr – 2012 – othes.univie.ac.at Page 1. MASTERARBEIT Titel der Masterarbeit “Interactive systems and affective science: Uses of player mood modelling in interactive drama presentation” Verfasser Simon Mayr angestrebter akademischer Grad Master of Science (MSc) Wien, 2012 Studienkennzahl lt. … Cite

FEEL: a system for acquisition, processing and visualization of biophysiological signals and contextual information Y Ayzenberg – 2012 – dspace.mit.edu Page 1. FEEL A System For Acquisition, Processing and Visualization of Biophysiological Signals and Contextual Information by Yadid Ayzenberg B.Sc. Mathematics and Computer Science Ben-Gurion University, 1999 Master … Related articles All 2 versions Cite

Electrocardiogram application based on heart rate variability ontology and fuzzy markup language MH Wang, CS Lee, G Acampora, V Loia – ECG Signal Processing, …, 2012 – Springer … Beveridge and Fox ( 2006 ) presented a home monitoring mechanism through an intelligent dialogue system to apply to health care. … Differently from other similar approaches such as Fuzzy Control Language (FCL) or MATLAB Fuzzy Inference System (FIS) developed by the … Cited by 7 Related articles Cite

Step-wise emotion recognition using concatenated-HMM D Ozkan, S Scherer, LP Morency – Proceedings of the 14th ACM …, 2012 – dl.acm.org … The co-HMM model is implemented using MATLAB and the uni-modal HMMs were trained using Kevin Murphy Toolbox [16]. The input audio-visual features were com- puted at 50 frames per second. … [16] Hidden Markov Model (HMM) Toolbox for Matlab. software. … Cited by 2 Related articles All 2 versions Cite

Modern standard Arabic speech corpus for implementing and evaluating automatic continuous speech recognition systems MAAM Abushariah, RN Ainon, R Zainuddin… – Journal of the Franklin …, 2012 – Elsevier … In order to use our phonetically rich and balanced speech corpus for training and testing any Arabic ASR system, a number of Matlab programs were developed in order to produce a ready-to-use speech corpus. These Matlab … Cited by 3 Related articles All 4 versions Cite

Interactive genetic algorithm with mixed initiative interaction for multi-criteria ground water monitoring design M Babbar-Sebens, BS Minsker – Applied Soft Computing, 2012 – Elsevier … output membership functions according to the training data. Matlab’s Fuzzy Logic Toolbox is used to implement the ANFIS training method within the IGAMII code. 4. Results and discussion. In this section, a summary of results of … Cited by 7 Related articles All 3 versions Cite

Enhancing robustness for speech recognition through bio–inspired auditory filter–bank HK Maganti, M Matassoni – International Journal of Bio-Inspired …, 2012 – Inderscience … 272 HK Maganti and M. Matassoni human-computer dialog systems, dictation and navigation systems. … Ellis, DPW (2009) ‘Gammatone-like spectrograms’, available at http://www.ee.columbia. edu/~dpwe/resources/matlab/gammat onegram (accessed on 15 May 2012). Page 7. … Related articles All 4 versions Cite

The gf mathematics library J Saludes, S Xambó – arXiv preprint arXiv:1202.4837, 2012 – arxiv.org … We envision the Mathematics Grammar Library (MGL) presented in this paper as an enabling tech- nology for multilingual dialog systems capable of … SAGE Aimed at “creating a viable free open source alternative to Magma, Maple, Mathematica and Matlab”, SAGE is the result of … Cited by 1 Related articles All 9 versions Cite

Reinforcement learning with limited reinforcement: Using Bayes risk for active learning in POMDPs F Doshi-Velez, J Pineau, N Roy – Artificial Intelligence, 2012 – Elsevier … For example, a voice-activated dialog system must infer what a user ants (the hidden state) based on audio inputs passed through a microphone … All of the approaches were ded in reasonably-optimized Matlab; depending on the size of the domain, a complete set of learning … Cited by 2 Related articles All 6 versions Cite

Recent progress on programming methods for industrial robots Z Pan, J Polden, N Larkin, S Van Duin… – Robotics and Computer- …, 2012 – Elsevier … The user guides the robot with a handle that is equipped with a force torque sensor and commands the robot using a speech dialog system. The acquired trajectory can be adapted by using a PDA and 3D graphical user interfaces. 2.2. … [26], Various MATLAB based software. … Cited by 33 Related articles All 9 versions Cite

A neurally inspired musical instrument classification system based upon the sound onset MJ Newton, LS Smith – The Journal of the Acoustical Society of America, 2012 – link.aip.org … and G. Palm, “Real-time emotion recognition from speech using echo state networks,” in Perception in Multimodal Dialogue Systems, Lecture Notes … H. Jaeger, “ESN toolbox for matlab,” http://www.faculty.jacobs-university.de/hjaeger/pubs/ESNtools.zip (Last viewed: 9/7/2011). … Cited by 1 Related articles All 9 versions Cite

Evaluation of MPEG-7 Descriptors for Speech Emotional Recognition AS Lampropoulos, GA Tsihrintzis – … Information Hiding and …, 2012 – ieeexplore.ieee.org … dx.doi.org/10.1007/978-3-642-00525-1 26 [7] T. Danisman and A. Alpkocak, “Emotion classification of audio signals using ensemble of support vector machines,” in Perception in Mul- timodal Dialogue Systems, ser. … (2004) Iso15938-4 (mpeg-7) feature extraction matlab source. … Related articles All 3 versions Cite

Recognotion of Speaker Useing Mel Frequency Cepstral Coefficient & Vector Quantization for Authentication P Mishra, S Agrawal – ijser.org … Practical applications of speech recognition and dialogue systems bring sometimes a requirement to synthesize or re- construct the speech from the saved or transmitted MFCCs. [7] … The code is developed in the MATLAB environment and performs the identification satisfactorily. … Related articles Cite

Semantic Computation of Medical Image Annotation Based on Semantic Tree B Li, K Wang, X Zhang – Recent Advances in Computer Science and …, 2012 – Springer … To decompose the singular value through the SVD function in Matlab, thus obtain the Spearman Rank Correlation function in the form of matrix. … 1135 (2003) 6. Yeh, J.-F., Wu, C.-H., Chen, M.-J.: Ontology-based speech act identification in a bilingual dialog system using partial … Related articles All 3 versions Cite

Phonetic unification of multiple accents for spanish and arabic languages S Tanveer, A Muhammad, AM Martinez-Enriquez… – Pattern …, 2012 – Springer … PUMA uses MATLAB framework using signal processing toolkit. … in Information Technology (IIT), Al Ain, United Arab Emirates, p. 59 (2008) 4. Zhou, W., Yuan, B., Miao, Z., Tang, X.: Error correction via phonetic similarity-based processing for Chinese spoken dialogue system. … Related articles All 3 versions Cite

Electrocardiogram Application Based on Heart Rate Variability Ontology and Fuzzy Markup MH Wang, CS Lee, G Acampora… – ECG Signal Processing, …, 2012 – books.google.com … Beveridge and Fox (2006) presented a home monitoring mechanism through an intelligent dialogue system to apply to health care. … Differently from other similar approaches such as Fuzzy Control Language (FCL) or MATLAB Fuzzy Inference System (FIS) developed by the … Related articles Cite

Recognition of Speaker Using Mel Frequency Cepstral Coefficient & Vector Quantization P Mishra, S Agrawal – International Journal of Science, Engineering and …, 2012 – ijsetr.org … Practical applications of speech recognition and dialogue systems bring sometimes a requirement to synthesize or reconstruct the speech from the saved or transmitted MFCCs. … The code is developed in the MATLAB environment and performs the identification satisfactorily. … Related articles All 2 versions Cite

Speaker accent recognition through statistical descriptors of Mel-bands spectral energy and neural network model Y Ma, MP Paulraj, S Yaacob… – … and Development in …, 2012 – ieeexplore.ieee.org … these information serves as voice signatures and can be useful for speech mining applications or for the design of a natural spoken-dialog system. … The speech was recorded using a laptop computer sound card and MATLAB program where the sampling rate was set to 16 kHz … Related articles Cite

Detecting naturalistic expressions of nonbasic affect using physiological signals O AlZoubi, S D’Mello, R Calvo – 2012 – ieeexplore.ieee.org … This variability was due to differences in session length among participants when they interacted with AutoTutor. 4 CLASSIFICATION RESULTS PRTools 4.0 [61], a pattern recognition library for Matlab, was used for processing the data. … Cited by 2 Related articles All 7 versions Cite

A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing D Novak, M Mihelj, M Munih – Interacting with Computers, 2012 – Elsevier Physiological computing represents a mode of human–computer interaction where the computer monitors, analyzes and responds to the user’s psychophysiological. Cited by 9 Related articles All 7 versions Cite

When “okay” is not okay: Acoustic characteristics of single-word prosody conveying reluctance M van Zyl, JJ Hanekom – The Journal of the Acoustical Society of America, 2012 – asadl.org … 50, 366–381. Ellis, DPW (2002). “A phase vocoder in MATLAB,” http://labrosa.ee.columbia.edu/ matlab/pvoc (Last viewed November 26, 2010). Field, A. (2009). … “Recognition of positive/negative attitude and its application to a spoken dialogue system,” Syst. Comput. Jpn. … Cited by 1 Related articles All 5 versions Cite

Effects of noise suppression on intelligibility: Dependency on signal-to-noise ratios G Hilkhuysen, N Gaubitch, M Brookes… – The Journal of the …, 2012 – link.aip.org … Speech communication systems and dialogue systems. … Signal processing and stimulus presentation were accomplished with software written in MatLab release 2008a (Mathworks, 2008) using 64-bit floating point representations for all signals and in all signal manipulation. … Cited by 4 Related articles All 7 versions Cite

Modeling the temporal evolution of acoustic parameters for speech emotion recognition S Ntalampiras, N Fakotakis – Affective Computing, IEEE …, 2012 – ieeexplore.ieee.org … tions in spoken language has become extremely impor- tant due to its immediate usage in many applications which include automatic dialog systems. … AR- FIT toolbox is written in MATLAB and includes functions for analyzing time series of multiple variables using AR processes … Cited by 10 Related articles All 7 versions Cite

Real time emotion aware applications: A case study employing emotion evocative pictures and neuro-physiological sensing enhanced by Graphic Processor Units EI Konstantinidis, CA Frantzidis, C Pappas… – Computer methods and …, 2012 – Elsevier … The two algorithms, which described in the previous section, were implemented in language C, C Sharp (C #), Matlab and CUDA. The execution of CUDA implementation was run in three different CUDA-enabled devices: GeForce … Cited by 3 Related articles All 6 versions Cite

Wavelets-based facial expression recognition using a bank of support vector machines SB Kazmi, MA Jaffar – Soft Computing, 2012 – Springer … In 1993 (Takeuchi and Nagao 1993 ), the conversations between users and speech dialogue systems were analyzed and they found that conversation with system featuring facial displays was more … MATLAB has been used as the implementation platform during this research. … Cited by 1 Related articles All 4 versions Cite

A Decomposition Algorithm for Learning Bayesian Networks Based on Scoring Function M Zhu, S Liu – Journal of Applied Mathematics, 2012 – hindawi.com … They have been applied to a wide range of tasks such as natural spoken dialog systems, vision recognition, expert systems, medical diagnosis, and genetic regulatory network inference [1–5]. A BN consists of two important components: a directed acyclic graph (DAG … Cited by 1 Related articles All 5 versions Cite

Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema M Kotti, F Paternò – International journal of speech technology, 2012 – Springer Page 1. Int J Speech Technol (2012) 15:131–150 DOI 10.1007/s10772-012-9127-7 Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema Margarita Kotti · Fabio Paternò … Cited by 3 Related articles All 7 versions Cite

The role of nonlinear dynamics in affective valence and arousal recognition G Valenza, A Lanata, EP Scilingo – Affective Computing, IEEE …, 2012 – ieeexplore.ieee.org … All the algorithms were implemented by using Matlab v7.2 with a support for classifiers by using the routines available in the well-known Matlab toolbox for pattern recognition (PRTool) [64], Time Series Analysis Toolbox [65]. … Cited by 20 Related articles All 6 versions Cite

A paradigm for handwriting-based intelligent tutors L Anthony, J Yang, KR Koedinger – International Journal of Human- …, 2012 – Elsevier This paper presents the interaction design of, and demonstration of technical feasibility for, intelligent tutoring systems that can accept handwriting input fr. Cited by 3 Related articles All 3 versions Cite

Cultural dependency analysis for understanding speech emotion N Kamaruddin, A Wahab, C Quek – Expert Systems with Applications, 2012 – Elsevier … out some experiments to recognize the negative emotions; namely: anger, boredom and doubtfulness in facilitating user interaction using UAH dialog system. … Thus, for the purpose of our study, the approach by Slaney’s Auditory Toolbox in Matlab (Slaney, 1998) was adopted … Cited by 12 Related articles All 4 versions Cite

Designing a restaurant assistance Robot-Involving Engagement of Multiple-parties in conversation PK Paranthaman – 2012 – macs.hw.ac.uk … with Nao is responsible for this perception unit. A dialog system built with PaMini [26] (pattern based mixed … on. Then this information is sent to dialog system and further action is being performed by the robot. The methodologies … Related articles Cite

The SEMAINE API: A component integration framework for a naturally interacting and emotionally competent Embodied Conversational Agent M Schröder – 2012 – scidok.sulb.uni-saarland.de … and describes how these technologies are put to use to implement a specific type of dialogue system: a fully autonomous implementation of ‘Sensitive Artificial Listeners’ (SAL). … Page 15. 3 Since an ECA-based interactive dialogue system requires multiple input and … Cited by 3 Related articles Cite

Analyzing speech quality perception using electro-encephalography J Antons, R Schleicher, S Arndt, S Moller… – 2012 – ieeexplore.ieee.org … A logistic function was fitted to the detection rates of the stimulus levels with the MATLAB R G toolbox psignifit, approximating the data points in a least-squares sense [33]. … 2) ERP data: Off-line signal processing was carried out using the MATLAB R G toolbox EEGLAB [34]. … Cited by 12 Related articles All 2 versions Cite

Phonetically rich and balanced text and speech corpora for Arabic language MAM Abushariah, RN Ainon, R Zainuddin… – Language resources …, 2012 – Springer Page 1. ORIGINAL PAPER Phonetically rich and balanced text and speech corpora for Arabic language Mohammad AM Abushariah · Raja N. Ainon · Roziati Zainuddin · Moustafa Elshafei · Othman O. Khalifa Published online … Cited by 1 Related articles All 7 versions Cite

Perceptual audio features for emotion detection MC Sezgin, B Gunsel, GK Kurt – EURASIP Journal on Audio, Speech, and …, 2012 – Springer Page 1. RESEARCH Open Access Perceptual audio features for emotion detection Mehmet Cenk Sezgin, Bilge Gunsel* and Gunes Karabulut Kurt Abstract In this article, we propose a new set of acoustic features for automatic emotion recognition from audio. … Cited by 1 Related articles All 6 versions Cite

Johnny: An autonomous service robot for domestic environments T Breuer, GRG Macedo, R Hartanto… – Journal of intelligent & …, 2012 – Springer … In the case of a dialog system, if a user asks Johnny to bring something, the DL rea- soner provides Johnny with objects that have the property graspable, which excludes objects that are too heavy for its manipulator. … People detection (sound based) Matlab/C++ Windows … Cited by 12 Related articles All 9 versions Cite

Formation conditions of mutual adaptation in human-agent collaborative interaction Y Xu, Y Ohmoto, S Okada, K Ueda, T Komatsu… – Applied …, 2012 – Springer … environment is developed. The task scenario used is a restaurant world “WAITER.” This is a Matlab-based com- puter game platform that is designed to investigate the con- ditions of the mutual adaptation phenomenon. In this … Cited by 2 Related articles All 5 versions Cite

Static And Dynamic Analysis Of Linear Switched Reluctance Machine PRPSL Kalamen, VHH Chen, RKMMA Hopko – uniza.sk … The calculated static parameters are inputs into dynamic mathematical model of the LSRM. This model is simulated under Matlab/Simulink. … Finally, the mover position is given as: (7) This mathematical model was simulated under Matlab/Simu- link. … All 2 versions Cite

Speech information retrieval: a review RP Hafen, MJ Henry – Multimedia Systems, 2012 – Springer … proven useful [41, 66, 76] 2.6 Computing There are many resources for computing feature vectors for audio. The Signal Processing Toolbox and the Wavelet Toolbox in Matlab provide many routines. Also, the open- source R … Cited by 2 Related articles All 4 versions Cite

[BOOK] Speech in Mobile and Pervasive Environments N Rajput, AA Nanavati – 2012 – books.google.com … 6.9 Summary and Future Work Bibliography Chapter 7: Architecture of Mobile Speech-based and Multimodal Dialog Systems 7.1 Introduction 7.2 … 9 Pérez-Fontán and Espiñeira: Modeling the Wireless Propagation Channel: A simulation approach with MATLAB®, August 2008 … Cited by 1 Related articles All 3 versions Cite

Auditory inspired methods for localization of multiple concurrent speakers T Habib, H Romsdorfer – Computer Speech & Language, 2012 – Elsevier … acoustic enclosures. For various hands-free communication applications such as telephony and speech dialog systems, several sources need to be localized simultaneously in adverse acoustic environments with ambient noise. A … Related articles All 3 versions Cite

Machine Learning Methods for Articulatory Data JJ Berry – 2012 – arizona.openrepository.com … phoneme acoustics. This type phoneme-based ASR systems tends to perform poorly outside of careful, constrained speech applications (such as menu-driven telephone dialogue systems). One approach to dealing with context effects is to explicitly … Related articles All 4 versions Cite

Physiology as a Tool for UX and Usability Testing M FORNE – kiosk.nada.kth.se Page 1. Physiology as a Tool for UX and Usability Testing A comparative study of pupil size and other physiological measures MALIN FORNE Master of Science Thesis Stockholm, Sweden 2012 Page 2. Physiology as a Tool for UX and Usability Testing … Related articles All 3 versions Cite

Top-Down Attention Modelling in a Cocktail Party Scenario ML Marchegiani – 2012 – padis.uniroma1.it … In Cognitive Robotics, modelling human attention can drive the development of spoken dialogue systems 1 Page 25. and help in approaching human-robot interaction issues (see, eg Lang et al. (2003) and Marchegiani et al. (2009a)). State of the Art … Related articles All 2 versions Cite

Speaker Identification Dengan Gaussian Mixture Model RR Hermanto – Jurnal Sarjana ITB bidang Teknik Elektro dan …, 2012 – stei.itb.ac.id … Dengan menggunakan fungsi gmm_estimate. Pada matlab, bentuk fungsi adalah “output= fungsi(input)”. … [HEM08] Usability of Speech Dialog Systems: Listening to the Target Audience. 2008. Hempel, Thomas. [KAR03]Karpov E. (2003) Real-Time Speaker Identification. … Cite

Performace evaluation of geographic and topological routing protocols for Vehicular Ad. hoc Networks D Marín Sánchez – 2012 – upcommons.upc.edu Page 1. PROJECTE FINAL DE CARRERA PERFORMANCE EVALUATION OF GEOGRAPHIC AND TOPOLOGICAL ROUTING PROTOCOLS FOR VEHICULAR AD-HOC NETWORKS Estudis: Enginyeria de Telecomunicació Autor: David Marín Sánchez … All 2 versions Cite

Assessment and support of the idea co-construction process that influences collaboration G Gweon – 2012 – ra.adm.cs.cmu.edu … Friedland, & Imseng 2010). Some tutorial dialogue systems such as Scot (Pon-Barry, et al 2006) and ITSPOKE (Forbed-Riley & Litman 2009) have used speech recognition technology to detect uncertainty in student responses. … Related articles All 7 versions Cite

Performance of optimized sound field control techniques in simulated and real acoustic environments. P Coleman, M Mo?ller, M Olsen, M Olik… – J Acoust Soc …, 2012 – epubs.surrey.ac.uk Page 1. THURSDAY MORNING, 17 MAY 2012 HALL B, 8:20 AM TO 9:20 AM Keynote Lecture Invited Paper 8:20 Acoustics of traditional Chinese theatres. Ji-qing Wang (Institute of Acoustics, Tongji University, Shanghai, Shanghai … Cited by 3 Related articles All 3 versions Cite

Acoustics of traditional Chinese theatres J Wang – The Journal of the Acoustical Society of America, 2012 – asadl.org Page 1. THURSDAY MORNING, 17 MAY 2012 HALL B, 8:20 AM TO 9:20 AM Keynote Lecture Invited Paper 8:20 Acoustics of traditional Chinese theatres. Ji-qing Wang (Institute of Acoustics, Tongji University, Shanghai, Shanghai … All 9 versions Cite

Tensor deep stacking networks B Hutchinson, L Deng, D Yu – 2012 – ieeexplore.ieee.org Page 1. Tensor Deep Stacking Networks Brian Hutchinson, Student Member, IEEE, Li Deng, Fellow, IEEE, and Dong Yu, Senior Member, IEEE Abstract—A novel deep architecture, the tensor deep stacking network (T-DSN), is presented. … Cited by 8 Related articles All 10 versions Cite