Finding proper pronunciation assessment
نویسندگان
چکیده
منابع مشابه
Knowledge of language origin improves pronunciation accuracy of proper names
As it is impossible to have a lexicon with complete coverage, and a high proportion of unknown words are proper names, this paper addresses the issue of automatically finding pronunciations of unseen proper names in US English. Proper names, especially in the US, may come from a large range of ethnic backgrounds. We present a model and results showing that including ethnic origin of words in a ...
متن کاملIssues in the pronunciation of proper names : the experience
This paper discusses several relevant issues concerning the pronunciation of proper names. Although it was motivated by the experience of the ONOMASTICA European project, it reeects a personal view, not constituting, therefore, an oocial document of the project. The major outcome of the project was the production of two important linguistic resources: the set of 11 national pronunciation lexica...
متن کاملImproving Pronunciation Accuracy of Proper Names with Language Origin Classes
Pronunciation of proper names that have different and varied language sources is an extremely hard task, even for humans. This thesis presents an attempt to improve automatic pronunciation of proper names by modeling the way humans do it, and tries to eliminate synthesis errors that humans would never make. It does so by taking into account the different language and language family sources and...
متن کاملStructural assessment of language learners' pronunciation
Speaker-invariant structural representation of speech was proposed [1], where only the phonic contrasts between speech sounds were extracted to form their external structure. The acoustic substances were completely discarded. Considering a mapping function between speaker A’s acoustic space and B’s space, the speech dynamics was mathematically proven to be invariant between the two irrespective...
متن کاملPronunciation assessment via a comparison-based system
In this paper, we present preliminary results on applying a comparison-based framework to the task of pronunciation scoring. The comparison-based system works by aligning a student’s utterance with a teacher’s utterance via dynamic time warping (DTW). Features that describe the degree of mis-alignment are extracted from the aligned path and the distance matrix. We focus on a dataset in Levantin...
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ژورنال
عنوان ژورنال: SOCIAL SCIENCES
سال: 2020
ISSN: 2734-9624,2734-9357
DOI: 10.46223/hcmcoujs.soci.en.8.2.286.2018