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"Yeah right": Sarcasm recognition for spoken dialogue systems

"Yeah right": Sarcasm recognition for spoken dialogue system...

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INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

作者： Tepperman, Joseph Traum, David Narayanan, Shrikanth Signal Analysis and Interpretation Laboratory University of Southern California Institute for Creative Technologies University of Southern California

ISBN: (纸本)9781604234497

The robust understanding of sarcasm in a spoken dialogue system requires a reformulation of the dialogue manager's basic assumptions behind, for example, user behavior and grounding strategies. But automatically detecting a sarcastic tone of voice is not a simple matter. This paper presents some experiments toward sarcasm recognition using prosodic, spectral, and contextual cues. Our results demonstrate that spectral and contextual features can be used to detect sarcasm as well as a human annotator would, and confirm a long-held claim in the field of psychology -that prosody alone is not sufficient to discern whether a speaker is being sarcastic.

关键词： Behavioral research

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Virtual museum guides demonstration

Virtual museum guides demonstration

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2010 IEEE Workshop on Spoken Language Technology, SLT 2010

作者： Swartout, William Traum, David Artstein, Ron Noren, Dan Debevec, Paul Bronnenkant, Kerry Williams, Josh Leuski, Anton Narayanan, Shrikanth Piepol, Diane Lane, Chad Morie, Jacquelyn Aggarwal, Priti Liewer, Matt Chiang, Jen-Yuan Gerten, Jillian Chu, Selina White, Kyle USC Institute for Creative Technologies United States Museum of Science Boston United States USC Signal Analysis and Interpretation Laboratory United States

ISBN: (纸本)9781424479030

关键词： Boston STEM audio acquisition automatic speech recognizer language understanding museums user interfaces virtual museum guides demonstration virtual reality

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Ada and grace: Direct interaction with museum visitors

Ada and grace: Direct interaction with museum visitors

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12th International Conference on Intelligent Virtual Agents, IVA 2012

作者： Traum, David Aggarwal, Priti Artstein, Ron Foutz, Susan Gerten, Jillian Katsamanis, Athanasios Leuski, Anton Noren, Dan Swartout, William Institute for Creative Technologies USC Los Angeles United States Signal Analysis and Interpretation Laboratory USC Los Angeles United States Institute for Learning Innovation Edgewater MD United States

ISBN: (纸本)9783642331961

We report on our efforts to prepare Ada and Grace, virtual guides in the Museum of Science, Boston, to interact directly with museum visitors, including children. We outline the challenges in extending the exhibit to support this usage, mostly relating to the processing of speech from a broad population, especially child speech. We also present the summative evaluation, showing success in all the intended impacts of the exhibit: that children ages 7-14 will increase their awareness of, engagement in, interest in, positive attitude about, and knowledge of computer science and technology. © 2012 Springer-Verlag Berlin Heidelberg.

关键词： Museums

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Radiobot-CFF: A spoken dialogue system for military training

Radiobot-CFF: A spoken dialogue system for military training

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INTERSPEECH 2006 and 9th International Conference on Spoken Language Processing, INTERSPEECH 2006 - ICSLP

作者： Roque, Antonio Leuski, Anton Rangarajan, Vivek Robinson, Susan Vaswani, Ashish Narayanan, Shri Traum, David Institute for Creative Technologies University of Southern California Los Angeles United States Speech Analysis and Interpretation Laboratory University of Southern California Los Angeles United States

We describe a spoken dialogue system which can engage in Call For Fire (CFF) radio dialogues to help train soldiers in proper procedures for requesting artillery fire missions. We describe the domain, an information-s... 详细信息

ISBN: (纸本)9781604234497

关键词： Speech processing

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Virtual Museum Guides demonstration

Virtual Museum Guides demonstration

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IEEE Spoken Language Technology Workshop

作者： William Swartout David Traum Ron Artstein Dan Noren Paul Debevec Kerry Bronnenkant Josh Williams Anton Leuski Shrikanth Narayanan Diane Piepol Chad Lane Jacquelyn Morie Priti Aggarwal Matt Liewer Jen-Yuan Chiang Jillian Gerten Selina Chu Kyle White USC Institute for Creative Technologies USA Museum of Science Boston USA USC Signal Analysis and Interpretation Laboratory USA

The Virtual Museum Guides are two virtual humans set in an exhibit at the Museum of Science, Boston, designed to promote interest in Science, Technology, Engineering and Mathematics (STEM). The primary audience is children between ages 7 to 14, in particular females and other groups under-represented in *** Guides are based on and extend the approach used in the SGT Star character and the Gunslinger project. To interact with the characters, an operator presses a push-totalk button and speaks into a microphone. An audio acquisition client then sends audio to the automatic speech recognizer (ASR), which creates hypotheses of the words that were said, and then sends this text to the Language Understanding (LU) module.

关键词： Delta modulation Speech recognition Markup languages Schedules Speech Animation Broadcasting

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Acoustic feature analysis in speech emotion primitives estimation

Acoustic feature analysis in speech emotion primitives estim...

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作者： Wu, Dongrui Parsons, Thomas D. Narayanan, Shrikanth S. University of Southern California Institute for Creative Technologies Marina del Rey CA United States Signal Analysis and Interpretation Lab. University of Southern California Los Angeles CA United States

We recently proposed a family of robust linear and nonlinear estimation techniques for recognizing the three emotion primitives-valence, activation, and dominance-from speech. These were based on both local and global speech duration, energy, MFCC and pitch features. This paper aims to study the relative importance of these four categories of acoustic features in this emotion estimation context. Three measures are considered: the number of features from each category when all features are used in selection, the mean absolute error (MAE) when each category is used separately, and the MAE when a category is excluded from feature selection. We find that the relative importance is in the order of MFCC > Energy ≈ Pitch > Duration. Additionally, estimator fusion almost always improves performance, and locally weighted fusion always outperforms average fusion regardless of the number of features used. © 2010 ISCA.

关键词： Speech communication

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Speech emotion estimation in 3D space

Speech emotion estimation in 3D space

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Dongrui Wu Thomas D. Parsons Emily Mower Shrikanth Narayanan Signal Analysis and Interpretation Laboratory University of Southern California Marina del Rey CA USA Signal Analysis and Interpretation Laboratory University of Southern California Los Angeles CA USA Institute of Creative Technologies University of Southern California Marina del Rey CA USA

Speech processing is an important element of affective computing. Most research in this direction has focused on classifying emotions into a small number of categories. However, numerical representations of emotions in a multi-dimensional space can be more appropriate to reflect the gradient nature of emotion expressions, and can be more convenient in the sense of dealing with a small set of emotion primitives. This paper presents three approaches (robust regression, support vector regression, and locally linear reconstruction) for emotion primitives estimation in 3D space (valence/activation/dominance), and two approaches (average fusion and locally weighted fusion) to fuse the three elementary estimators for better overall recognition accuracy. The three elementary estimators are diverse and complementary because they cover both linear and nonlinear models, and both global and local models. These five approaches are compared with the state-of-the-art estimator on the same spontaneously elicited emotion dataset. Our results show that all of our three elementary estimators are suitable for speech emotion estimation. Moreover, it is possible to boost the estimation performance by fusing them properly since they appear to leverage complementary speech features.

关键词： Estimation Speech Artificial neural networks Acoustics Feature extraction Correlation Three dimensional displays

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Examining the continuity of type-1 and interval type-2 fuzzy logic systems

Examining the continuity of type-1 and interval type-2 fuzzy...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Dongrui Wu Jerry M. Mendel Institute of Creative Technologies and the Signal Analysis and Interpretation Laboratory University of Southern California Los Angeles CA USA Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA

This paper studies the continuity of the input-output mappings of fuzzy logic systems (FLSs), including both type-1 (T1) and interval type-2 (IT2) FLSs. We show that a T1 FLS being an universal approximator is equivalent to saying that a T1 FLS has a continuous input-output mapping. We also derive the condition under which a T1 FLS is discontinuous. For IT2 FLSs using Karnik-Mendel type-reduction and center-of-sets defuzzification, we derive the conditions under which continuous and discontinuous input-output mappings can be obtained. Our results will be very useful in selecting the parameters of the membership functions to achieve a desired continuity (e.g., for most traditional modeling and control applications) or discontinuity (e.g., for hybrid and switched systems modeling and control).

关键词： Frequency selective surfaces Manganese Mathematical model Switched systems Fuzzy logic Heating

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Efficient algorithms for computing a class of subsethood and similarity measures for interval type-2 fuzzy sets

Efficient algorithms for computing a class of subsethood and...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

Subsethood and similarity measures are important concepts in fuzzy set (FS) theory. There are many different definitions of them, for both type-1 (T1) FSs and interval type-2 (IT2) FSs. In this paper, Rickard et al.'s definition of IT2 FS subsethood measure, extended from Kosko's T1 FS subsethood measure using the Representation Theorem, and Nguyen and Kreinovich's IT2 FS similarity measure, extended from the Jaccard similarity measure for T1 FSs, are introduced. Efficient algorithms for computing them are also proposed. Simulations demonstrate that our proposed algorithms outperform existing algorithms in the literature.

关键词： Frequency selective surfaces Switches Argon Monte Carlo methods Computational modeling Computational efficiency Cognition

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Ordered fuzzy weighted averages and ordered linguistic weighted averages

Ordered fuzzy weighted averages and ordered linguistic weigh...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

The ordered weighted average (OWA) operator has been widely used in decision-making. In many situations, however, providing crisp numbers for either the sub-criteria or the weights is problematic (there could be uncertainties about them), and it is more meaningful to provide intervals, type-1 fuzzy sets (T1 FSs), interval type-2 fuzzy sets (IT2 FSs), or a mixture of all of these, for the sub-criteria and weights. Two fuzzy extensions of the OWA, ordered fuzzy weighted averages for T1 FSs and ordered linguistic weighted averages for IT2 FSs, as wells as procedures for computing them, are introduced in this paper. They are compared with Zhou et al.'s T1 and IT2 fuzzy extensions of the OWA. Examples show that our extensions may give different results from Zhou et al.'s extensions when the legs of the FSs have intersections. Because our extensions coincide with the intuition of “FS in its entirety,” they are the suggested ones to use.

关键词： Open wireless architecture Leg Frequency selective surfaces Pragmatics Fuzzy sets Yttrium Electronic mail

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