Calculating posterior probability within a standard pronunciation space (SPS) is a common method in automatic pronunciation error detection (APED). However, to pronunciation errors outside the SPS, this kind of methods can only give an approximate solution, that may be not right in many applications. This paper expands the SPS to include more pronunciation errors, introduces a Bhattacharyya dis...

We describe an algorithm to learn word pronunciations from acoustic data. The algorithm jointly optimizes the pronunciation of a word using (a) the acoustic match of this pronunciation to the observed data, and (b) how “linguistically reasonable” the pronunciation is. Variations of word pronunciations in the recognition dictionary (which was created by linguists), are used to train a model of w...

This study investigates whether a computer assisted pronunciation training (CAPT) system can help young learners improve word-level pronunciation skills in English as a foreign language at a level comparable to that achieved through traditional teacher-led training. The pronunciation improvement of a group of learners of 11 years of age receiving teacher-fronted instruction was compared to that...

This work is part of a project aimed at developing a speech recognition system for language instruction that can assess the quality of pronunciation, identify pronunciation problems, and provide the student with accurate feedback about specific mistakes. Previous work was mainly concerned with scoring the quality of pronunciation. In this work we focus on automatic detection of mispronunciation...

various aspects of pronunciation quality and with their The aim of the research reported on here is to develop a system for automatic assessment of foreign speakers’ pronunciation of Dutch. In this paper, special attention is paid to expert ratings of pronunciation, because they are used as a reference to validate the pronunciation scores obtained automatically. It is shown that the ratings can...

Due to the large variability of pronunciation in spontaneous speech, pronunciation modeling becomes a more challenging and essential part in speech recognition. In this paper, we describe two different approaches of pronunciation modeling by using decision tree. At lexical level, a pronunciation variation dictionary is built to obtain alternative pronunciations for each word, in which each entr...

It is essential for Mandarin Proficiency Test that mandarin pronunciation is graded by computer system. But it still has a lot of problems need to be solved before it reaches the level of success. This paper proposes a novel method of objective grading pronunciation. The mandarin pronunciation can be decomposed into consonant, vowel and tone. In this paper the pronunciation feature parameters a...

We describe an algorithm to learn word pronunciations from acoustic data. The algorithm jointly optimizes the pronunciation of a word using (a) the acoustic match of this pronunciation to the observed data, and (b) how “linguistically reasonable” the pronunciation is. Variations of word pronunciations in the recognition dictionary (which was created by linguists), are used to train a model of w...

conclusions in veterans' family, psychological health of the veterans and marital adjustment of the parents have a significant relationship with their children's quality of life and happiness. results global severity index (gsi) scores of veterans and veteran's age were inversely correlated with the scores of children's quality of life, while marital adjustment of parents and number of rooms in...