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IEEE Journal of Selected Topics in Signal Processing

Issue 8 • Date Dec. 2012

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Displaying Results 1 - 16 of 16
  • Table of Contents

    Publication Year: 2012, Page(s): C1
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  • IEEE Journal of Selected Topics in Signal Processing publication information

    Publication Year: 2012, Page(s): C2
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  • Introduction to the Issue on Advances in Spoken Dialogue Systems and Mobile Interface

    Publication Year: 2012, Page(s):889 - 890
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  • A Comprehensive Reinforcement Learning Framework for Dialogue Management Optimization

    Publication Year: 2012, Page(s):891 - 902
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1922 KB) | HTML iconHTML

    Reinforcement learning is now an acknowledged approach for optimizing the interaction strategy of spoken dialogue systems. If the first considered algorithms were quite basic (like SARSA), recent works concentrated on more sophisticated methods. More attention has been paid to off-policy learning, dealing with the exploration-exploitation dilemma, sample efficiency or handling non-stationarity. Ne... View full abstract»

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  • Incremental Sparse Bayesian Method for Online Dialog Strategy Learning

    Publication Year: 2012, Page(s):903 - 916
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2764 KB) | HTML iconHTML

    This paper proposes an incremental sparse Bayesian learning method to allow continuous dialog strategy learning from the interactions with real users. Since conventional reinforcement learning (RL) methods require a huge number of dialogs to reach convergence, it has been essential to use a simulated user in training dialog policies. The disadvantage of this approach is that the trained dialog pol... View full abstract»

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  • Building Adaptive Dialogue Systems Via Bayes-Adaptive POMDPs

    Publication Year: 2012, Page(s):917 - 927
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1675 KB) | HTML iconHTML

    Recent research has shown that effective dialogue management can be achieved through the Partially Observable Markov Decision Process (POMDP) framework. However past research on POMDP-based dialogue systems usually assumed the parameters of the decision process were known a priori. The main contribution of this paper is to present a Bayesian reinforcement learning framework for learning the POMDP ... View full abstract»

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  • Naturalistic Dialogue Management for Noisy Speech Recognition

    Publication Year: 2012, Page(s):928 - 942
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1280 KB) | HTML iconHTML

    With naturalistic dialogue management, a spoken dialogue system behaves as a human would under similar conditions. This paper reports on an experiment to develop naturalistic clarification strategies for noisy speech recognition in the context of spoken dialogue systems. We collected a wizard-of-Oz corpus in which human wizards with access to a rich set of clarification actions made clarification ... View full abstract»

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  • An Example-Based Approach to Ranking Multiple Dialog States for Flexible Dialog Management

    Publication Year: 2012, Page(s):943 - 958
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2638 KB) | HTML iconHTML

    This paper presents a new hybrid dialog management framework that integrates a statistical ranking algorithm into an example-based dialog management approach for chat-like dialogs. The proposed model uses ranking features that consider various aspects of dialogs, including the relative importance of speech acts, dialog history sequences, and the causal relationships among speech acts and slot-fill... View full abstract»

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  • Challenges and Opportunities for State Tracking in Statistical Spoken Dialog Systems: Results From Two Public Deployments

    Publication Year: 2012, Page(s):959 - 970
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2079 KB) | HTML iconHTML

    Whereas traditional dialog systems operate on the top ASR hypothesis, statistical dialog systems claim to be more robust to ASR errors by maintaining a distribution over multiple hidden dialog states. Recently, these techniques have been deployed publicly for the first time, making empirical measurements possible. In this paper, we analyze two of these deployments. We find that performance was qui... View full abstract»

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  • Predicting User Satisfaction in Spoken Dialog System Evaluation With Collaborative Filtering

    Publication Year: 2012, Page(s):971 - 981
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1884 KB) | HTML iconHTML

    We propose a collaborative filtering (CF) model to predict user satisfaction in SDS evaluation. Inspired by the use of CF in recommendation systems, where a user's preference for a new item is assume to resemble that for similar items rated previously, we adapt the idea to predict user evaluations of unrated dialogs based on the ratings received by similar dialogs. Ratings of dialogs are gathered ... View full abstract»

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  • Harvesting and Summarizing User-Generated Content for Advanced Speech-Based HCI

    Publication Year: 2012, Page(s):982 - 992
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1611 KB) | HTML iconHTML

    There are many Web-based platforms where people could share user-generated content such as reviews, posts, blogs, and tweets. However, online communities and social networks are expanding so rapidly that it is impossible for people to digest all the information. To help users obtain information more efficiently, both the interface for data access and the information representation need to be impro... View full abstract»

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  • List of Reviewers

    Publication Year: 2012, Page(s):993 - 994
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  • IEEE Journal of Selected Topics in Signal Processing information for authors

    Publication Year: 2012, Page(s):995 - 996
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  • 2012 Index IEEE Journal of Selected Topics in Signal Processing Vol. 6

    Publication Year: 2012, Page(s):997 - 1008
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  • IEEE Signal Processing Society Information

    Publication Year: 2012, Page(s): C3
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  • [Blank page - back cover]

    Publication Year: 2012, Page(s): C4
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Aims & Scope

The Journal of Selected Topics in Signal Processing (J-STSP) solicits special issues on topics that cover the entire scope of the IEEE Signal Processing Society including the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals by digital or analog devices or techniques.

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Meet Our Editors

Editor-in-Chief

Shrikanth (Shri) S. Narayanan
Viterbi School of Engineering 
University of Southern California
Los Angeles, CA 90089 USA
shri@sipi.usc.edu