نتایج جستجو برای: clear pronunciation 2 software

تعداد نتایج: 3022859  

Shiva Seddighi

In light of the fact that L2 pronunciation errors are often caused by the transfer of well-established L1 sound systems, this paper examines some of the outstanding phonological differences between Persian and English. Comparing segmental and supra-segmental aspects of both languages, this study also discusses several problematic areas of pronunciation facing Iranian learners of English. To rea...

2015
Magdalena Wrembel

The paper aims at exploring the relationship between perceived pronunciation performance and metalinguistic awareness in the acquisition of third language phonology. The study involved 27 participants with Polish as L1, English as L2 and French as L3. In the first part of the study, third language pronunciation performance was assessed by means of online ratings involving 3 components: foreign ...

2003
Kyong-Nim Lee

In this paper, we describe a cross-morpheme pronunciation variation model which is especially useful for constructing morpheme-based pronunciation lexicon for Korean LVCSR. There are a lot of pronunciation variations occurring at morpheme boundaries in continuous speech. Since phonemic context together with morphological category and morpheme boundary information affect Korean pronunciation var...

2007
Stephen M. Grimes

This report describes the process of creating a pronunciation dictionary and phonological lexicon for Hungarian for the purpose of aiding in linguistic research on Hungarian phonology and phonotactics. The pronunciation dictionary was created by transforming orthographic forms to pronunciation representations by taking advantage of systematic deviations between Hungarian orthography and pronunc...

2003
Helmer Strik

Pronunciation variability is present in both native and foreign words. Since pronunciation variability constitutes a problem for automatic speech recognition (ASR) systems, modeling pronunciation variation for ASR has been the topic of various studies. In most studies, modeling pronunciation variation was attempted within the standard framework used in mainstream ASR systems. Given that some as...

2008
Alissa M. Harrison Wing Yiu Lau Helen M. Meng Lan Wang

This study demonstrates how knowledge of language transfer can enable a computer-assisted pronunciation teaching (CAPT) system to effectively detect and diagnose salient mispronunciations in second language learners’ speech. Our approach uses a HMM-based speech recognizer with an extended pronunciation lexicon that includes both a model pronunciation for each word and common pronunciation varia...

1998
Toshiaki Fukada Takayoshi Yoshimura Yoshinori Sagisaka

We propose a method for automatically generating a pronunciation dictionary based on a pronunciation neural network that can predict plausible pronunciations (realized pronunciations) from canonical pronunciations. This method can generate multiple forms of realized pronunciations using the pronunciation network. Experimental results on spontaneous speech show that the automatically-derived pro...

2002
Ulla Uebler

This paper presents a new approach for grapheme-to-phoneme conversion based on morphology. With this approach, a high accuracy can be obtained, although not for all words a transcription is achieved. The principle of this approach is to automatically decompose an existing pronunciation lexicon into morpheme-similar units called pseudo-morphological units. The pronunciation of the pseudo-morphol...

2004
In-Jeong Choi Nam-Hoon Kim Su Youn Yoon

In this paper, we present a novel method to regulate lexical connections among morpheme-based pronunciation lexicons for Korean large vocabulary continuous speech recognition (LVCSR) systems. A pronunciation dictionary plays an important role in subword-based LVCSR in that pronunciation variations such as coarticulation will deteriorate the performance of an LVCSR system if it is not well accou...

Journal: :Lingua: Jurnal Pendidikan Bahasa 2023

The utilize of YouTube for teaching and learning English in this era is needed toimplement. This research aims to investigated Channel: Pronunciation withEmma able enhance students’ pronunciation at SMK Bina Mandiri Bekasi. designof Classroom Action Research (CAR) uses a quantitative descriptivemethod. Participants were 36 students from XI TKJ F MandiriBekasi. result showed that using Channel:P...

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