Print Email Facebook Twitter Automatic detection of frequent pronunciation errors made by L2-learners Title Automatic detection of frequent pronunciation errors made by L2-learners Author Truong, K.P. Neri, A. de Wet, F. Cucchiarini, C. Strik, H. TNO Defensie en Veiligheid Publication year 2005 Abstract In this paper, we present an acoustic-phonetic approach to automatic pronunciation error detection. Classifiers using techniques such as Linear Discriminant Analysis and Decision Trees were developed for three sounds that are frequently pronounced incorrectly by L2-learners of Dutch: /a/, /y/ and /x/. This paper will focus mainly on the problems with the latter phoneme. The acoustic properties of these pronunciation errors were examined so as to define a number of discriminative acoustic features to be used to train and test the classifiers. Experiments showed that the classifiers are able to discriminate correct sounds from incorrect sounds in both native and non-native speech, and therefore can be used to detect pronunciation errors in non-native speech. Subject Acoustics and AudiologyAutomatic speech recognitionAcoustic signal processingBit error rateClassification (of information)Decision tablesSpeech analysisSpeech processingVocabulary controlDecision TreesLinear Discriminant AnalysisNon-native speechPronunciation errorsError detection To reference this document use: http://resolver.tudelft.nl/uuid:44402c9a-19ee-404c-a3a1-02640529f82f TNO identifier 15988 Source 9th European Conference on Speech Communication and Technology, 4 September 2005 through 8 September 2005, Lisbon, 1345-1348 Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.