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The focus in automatic speech recognition (ASR) research has gradually shifted from isolated words to conversational speech. Consequently, the amount of pronunciation variation present in the speech under study has gradually increased. Pronunciation variation will deteriorate the performance of an ASR system if it is not well accounted for. This is probably(More)
To determine whether expert fluency ratings of read speech can be predicted on the basis of automatically calculated temporal measures of speech quality, an experiment was conducted with read speech of 20 native and 60 non-native speakers of Dutch. The speech material was scored for fluency by nine experts and was then analyzed by means of an automatic(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)
In this article, we address the issue of using a continuous speech recognition tool to obtain phonetic or phonological representations of speech. Two experiments were carried out in which the performance of a continuous speech recognizer (CSR) was compared to the performance of expert listeners in a task of judging whether a number of prespecified phones(More)
The automatic parametrization of the first derivative of glottal flow is studied. Representatives of the two types of methods used most often for parametrization were tested and compared. The chosen representatives are all based on the Liljencrants–Fant model. As numerous tests were needed for a detailed comparison of the methods, a novel evaluation(More)
There are various kinds of adaptation which can be used to enhance the performance of automatic speech recognizers. This paper is about pronunciation adaptation at the lexical level, i.e. about modeling pronunciation variation at the lexical level. In the early years of automatic speech recognition (ASR) research, the amount of pronunciation variation was(More)
In this paper, we examine the type of feedback that currently available Computer Assisted Pronunciation Training (CAPT) systems provide, with a view to establishing whether this meets pedagogically sound requirements. We show that many commercial systems tend to prefer technological novelties that do not always comply with pedagogical criteria and that(More)
In this paper we describe a survey of Dutch language resources that has been carried out within the framework of a project launched by the Dutch Language Union (Nederlandse Taalunie) with the aim of strengthening the position of Dutch in Human Language Technologies (HLT). In this paper we present a so-called BLARK (Basic LAnguage Resources Kit). Based on(More)
This study is aimed at investigating whether automatic phonetic transcription procedures can approximate manual transcriptions typically delivered with contemporary large speech corpora. To this end, ten automatic procedures were used to generate a broad phonetic transcription of well-prepared speech (read-aloud texts) and spontaneous speech (telephone(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)