[PDF] Top 20 Targeted Help for Spoken Dialogue Systems
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Targeted Help for Spoken Dialogue Systems
... When the grammar-based recognizer fails and the SLM recognizer produces a recognition hypothesis, this result is used by the Tar- geted Help agent to give the user feed- back on what was[r] ... See full document
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Automatic Detection of Miscommunication in Spoken Dialogue Systems
... We think that the models described here can be used in many different ways. A simple appli- cation of the online models could be to build an “error awareness” module in a dialogue system. For offline analysis, the ... See full document
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A Scalable Architecture For Web Deployment of Spoken Dialogue Systems
... In the third experiment, we implemented a Flash client which simulated running a standardised CALL-SLT session from a variety of remote locations and measured latency for the three most common types of message: ... See full document
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Detecting Inappropriate Clarification Requests in Spoken Dialogue Systems
... Today’s SDS use generic approaches to clarifica- tion, asking the user to repeat or rephrase an en- tire utterance when the system believes it has not been understood correctly. They use confidence scores on the ASR ... See full document
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Dialogue Oriented Review Summary Generation for Spoken Dialogue Recommendation Systems
... text-based systems, are not quite suitable for interactive dialogue sys- ...to help users choose a restaurant, a movie or a consumer ...human-friendly dialogue; 2) provides both a ... See full document
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DATE: A Dialogue Act Tagging Scheme for Evaluation of Spoken Dialogue Systems
... information dialogue- medially. Yet a third site gives framing information dialogue-initially, but not ...instructions dialogue-initially, e.g. (Welcome. ...You may say repeat, help me out, ... See full document
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Characterizing and Predicting Corrections in Spoken Dialogue Systems
... Using the best feature set from Table 7 (Raw+ASR+SYS+POS, DIA = PreTurn), Table 8 shows our results using 25-fold cross-validation. First, note that our overall estimated error is now 24.13% ± 0.89%. Although this is a ... See full document
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Optimising Information Presentation for Spoken Dialogue Systems
... should help the user to select an item (valueU serReaction = +100) or provide more constraints addInfo (valueU serReaction = ± 0), but the user should not do anything else (valueU serReaction = ... See full document
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Predicting user mental states in spoken dialogue systems
... User simulators make it possible to generate a large number of dialogues reducing the time and effort that would be needed for the detailed evaluation of the qual- ity of the services provided by a dialogue system ... See full document
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Spoken dialogue BIM systems - an application of Big Data in construction
... with Spoken Dialogue System has been developed to capture and retrieve maintenance related information and knowledge of ...in Dialogue technology to handle data from various input and output ... See full document
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Corpus Based Discourse Understanding in Spoken Dialogue Systems
... The speech recognition engine was Julius3.3p1 (Lee et al., 2001) with its attached acoustic models. For the language model, we made a trigram from the transcription obtained from the corpora. The system had a vocabulary ... See full document
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Learning about Voice Search for Spoken Dialogue Systems
... Our experiment addressed whether voice search can compensate for incorrect ASR hypotheses and permit identification of a user’s desired book, giv- en a request by title. The results show that with high WER, a baseline ... See full document
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The SpeDial datasets: datasets for Spoken Dialogue Systems analytics
... different spoken dia- logue system datasets that collected with real users, in two different languages (English and Greek) and two different domains of ...new Spoken Dialogue Sys- ... See full document
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Identifying User Corrections Automatically in Spoken Dialogue Systems
... [r] ... See full document
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Importance Driven Turn Bidding for Spoken Dialogue Systems
... We now evaluate the IDTB approach by compar- ing it against the two competing models: Single- Utterance and Keep-Or-Release. The three turn- taking approaches are trained and tested in four user conditions: novice, ... See full document
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An Analysis of Older Users’ Interactions with Spoken Dialogue Systems
... nine systems, all participants underwent a comprehensive battery of cognitive ...neither dialogue strategy nor cognitive abilities affected task success in this ...to dialogue length and explores the ... See full document
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On the Use of Prosody for On-line Evaluation of Spoken Dialogue Systems
... all, spoken dialogue systems do not systematically pay attention to these ...of spoken dialogue systems to distinguish between positive and negative cues from the user is ... See full document
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A Methodology for Evaluating Spoken Language Dialogue Systems and Their Components
... Quantitative evaluation consists in counting something and producing an independently meaningful number, percentage etc. It should be noted that, even if quantitative measures may make little sense in absolute terms, ... See full document
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Information Presentation in Spoken Dialogue Systems
... Thus, the system provides detail only about those options that are of some relevance to the user, where relevance is determined by the user model. If there are multiple relevant options, a cluster- based tree structure ... See full document
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Learning Optimal Dialogue Strategies: A Case Study of a Spoken Dialogue Agent for Email
... Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Learning Optimal Dialogue Strategies A Case Study of a Spoken Dialogue Agent for Email Marilyn A Walker walker @[.] ... See full document
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