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This paper provides an overview o f the ongoing development o f a large corpus o f spoken Dutch in Flanders and the Netherlands. We outline the design o f this corpus and the various layers o f annotation with which the speech signal is enriched. Special attention is paid to the problems we have encountered, and to the tools and protocols developed for(More)
An effective way to increase the noise robustness of automatic speech recognition is to label noisy speech features as either reliable or unreliable (missing), and to replace (impute) the missing ones by clean speech estimates. Conventional imputation techniques employ parametric models and impute the missing features on a frame-by-frame basis. At low(More)
In this paper, we examine the relationship between pedagogy and technology in Computer Assisted Pronunciation Training (CAPT) courseware. First, we will analyse available literature on second language pronunciation teaching and learning in order to derive some general guidelines for effective training. Second, we will present an appraisal of various CAPT(More)
This paper describes two experiments aimed at exploring the relationship between objective properties of speech and perceived fluency in read and spontaneous speech. The aim is to determine whether such quantitative measures can be used to develop objective fluency tests. Fragments of read speech (Experiment 1) of 60 non-native speakers of Dutch and of(More)
The use of Confidence Measures (CMs) in Spoken Dialog System (SDS) applications to suppress the number of verification turns for ‘reliably correctly recognised utterances’ can greatly reduce average dialog length which enhances usability and increases user satisfaction [1]. This paper gives a brief but clear review of the method of CM assessment, which was(More)
While developing an approach towhy-QA, we extended a passage retrieval system that uses offthe-shelf retrieval technology with a re-ranking step incorporating structural information. We get significantly higher scores in terms of MRR@150 (from 0.25 to 0.34) and success@10. The 23% improvement that we reach in terms of MRR is comparable to the improvement(More)
In the Netherlands there is a nationwide premium rate telephone number that can be dialed to obtain information about various forms of public transport. In t996 this number was called more than twelve million times. Human operators managed to handle only about nine million of these calls. In order to answer more of these calls, a spoken dialog system was(More)
The ultimate aim of the research reported on here is to develop an automatic testing system for Dutch pronunciation. In the experiment described in this paper automatic scores of telephone speech produced by native and non-native speakers of Dutch are compared with speci®c, i.e., temporal and segmental, and global pronunciation ratings assigned by three(More)