The present study investigated the effect of using PRAAT as a free computer software package for the scientific analysis of speech in phonetics on pre-intermediate Iranian English as foreign language (EFL) learners’ supra segmental features (i.e., intonation and stress). The design of the study was a Quasi-experimental research design with a pre and post-test. In doing so...

The present study set out to identify the problematic areas of pronunciation among Iranian female EFL learners. Further, this study investigated the relationship between empathy and authentic pronunciation, along with gender as a moderator variable. Comparing segmental features and phonological processes of both languages helped teachers to predict the target errors. To reach such a goa...

This paper proposes an approach to detect social speech signals by computing segmental features using adaptation of segmental Hidden Markov Models (HMMs). This approach uses segmental HMMs and model adaptation techniques such as Maximum Likelihood Linear Regression (MLLR) and Maximum A Posterior (MAP) in order to acquire specific (or adapted) segmental HMMs that are fine-tuned to detect local r...

conclusion non-mass-like lesions, lesions with focal or segmental distribution, with a “plateau” enhancement curve type were the most frequent findings of dcis lesions on mri. background adequate diagnosis of ductal carcinoma in situ (dcis) could lead to efficacious treatment. due to the fact that dcis lesions can progress to invasive carcinomas and that the sensitivity of the standard examinat...

Segments that span contiguous parts of inputs, such as phonemes in speech, named entities in sentences, actions in videos, occur frequently in sequence prediction problems. Segmental models, a class of models that explicitly hypothesizes segments, have allowed the exploration of rich segment features for sequence prediction. However, segmental models suffer from slow decoding, hampering the use...