Spoken Dialogue Control Based on a Turn-minimization Criterion Depending on the Speech Recognition Accuracy
نویسندگان
چکیده
This paper proposes a new dialogue control method for spoken dialogue systems. The method configures a dialogue plan so as to minimize the estimated number of turns to complete the dialogue. The number of turns is estimated depending on the current speech recognition accuracy and probability distribution of the true user’s request. The proposed method reduces the number of turns to complete the task at almost any recognition accuracy.
منابع مشابه
Robust dialogue act detection based on partial sentence tree, derivation rule, and spectral clustering algorithm
A novel approach for robust dialogue act detection in a spoken dialogue system is proposed. Shallow representation named partial sentence trees are employed to represent automatic speech recognition outputs. Parsing results of partial sentences can be decomposed into derivation rules, which turn out to be salient features for dialogue act detection. Data-driven dialogue acts are learned via an ...
متن کاملEfficient spoken dialogue control depending on the speech recognition rate and system's database
We present dialogue control methods (the dual-cost method and the trial dual-cost method) that enable a spoken dialogue system to convey information to the user in as short a dialogue as possible depending on the speech recognition rate and the content of its database. Both methods control a dialogue so as to minimize the sum of two costs: the confirmation cost (Ccost) and the information trans...
متن کاملTowards End-to-End Spoken Dialogue Systems with Turn Embeddings
Training task-oriented dialogue systems requires significant amount of manual effort and integration of many independently built components; moreover, the pipeline is prone to errorpropagation. End-to-end training has been proposed to overcome these problems by training the whole system over the utterances of both dialogue parties. In this paper we present an end-to-end spoken dialogue system a...
متن کاملMutual Information and Perplexity Based Clustering of Dialogue Information for Dynamic Adaptation of Language Models
We present two approaches to cluster dialogue-based information obtained by the speech understanding module and the dialogue manager of a spoken dialogue system. The purpose is to estimate a language model related to each cluster, and use them to dynamically modify the model of the speech recognizer at each dialogue turn. In the first approach we build the cluster tree using local decisions bas...
متن کاملDoing research on a deployed spoken dialogue system: one year of let's go! experience
This paper describes our work with Let’s Go, a telephonebased bus schedule information system that has been in use by the Pittsburgh population since March 2005. Results from several studies show that while task success correlates strongly with speech recognition accuracy, other aspects of dialogue such as turn-taking, the set of error recovery strategies, and the initiative style also signific...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2001