Add to ORKGIn this paper we present an experiment aimed at improving automatic phonetic transcription of Dutch spontaneous speech through a variant-based method of pronunciation variation modelling. For spontaneous speech, the literature does not always provide enough rules to describe its characteristic phonological processes. Therefore, other methods should be applied to model pronunciation variation for automatic phonetic transcription. We show that a large amount of manually transcribed phonetic data is an extremely useful source for collecting pronunciation variants and their prior probabilities. From the results we can conclude that the adopted method is indeed suitable for improving automatic transcription of spontaneous speech, and that furthe...
To achieve a robust system the variation seen for different speaking styles must be handled. An inve...
We describe a method for the automatic production of phonetic transcriptions in large speech corpora...
In this paper we describe a method for improving the performance of a continuous speech recognizer b...
In this paper we present an experiment aimed at improving automatic phonetic transcription of Dutch ...
Each time a word is uttered, even pronounced by one and the same speaker, its pronunciation can diff...
This paper presents the steps needed to make a corpus of Dutch spontaneous dialogues accessible for ...
this paper is to show that the performance of our automatic transcription tool compares to that of e...
Contains fulltext : 62009.pdf (author's version ) (Open Access)4 p
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation va...
This paper describes how the performance of a continuous speech recognizer for Dutch has been improv...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation var...
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation var...
This paper reports on an experiment aimed at establishing how phonetic transcriptions for the large ...
To achieve a robust system the variation seen for different speaking styles must be handled. An inve...
We describe a method for the automatic production of phonetic transcriptions in large speech corpora...
In this paper we describe a method for improving the performance of a continuous speech recognizer b...
In this paper we present an experiment aimed at improving automatic phonetic transcription of Dutch ...
Each time a word is uttered, even pronounced by one and the same speaker, its pronunciation can diff...
This paper presents the steps needed to make a corpus of Dutch spontaneous dialogues accessible for ...
this paper is to show that the performance of our automatic transcription tool compares to that of e...
Contains fulltext : 62009.pdf (author's version ) (Open Access)4 p
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation va...
This paper describes how the performance of a continuous speech recognizer for Dutch has been improv...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
In spontaneous, conversational speech, words are often reduced compared to their citation forms, suc...
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation var...
In this paper, we propose two methods for automatically obtaining hypotheses about pronunciation var...
This paper reports on an experiment aimed at establishing how phonetic transcriptions for the large ...
To achieve a robust system the variation seen for different speaking styles must be handled. An inve...
We describe a method for the automatic production of phonetic transcriptions in large speech corpora...
In this paper we describe a method for improving the performance of a continuous speech recognizer b...