This study was an attempt to investigate the effect of vowel-recognition training on beginner and advanced Iranian ESL learners. A total of 36 adult Iranian ESL learners (18 advanced and 18 beginners) who were students of various majors at Memorial University (MUN) were recruited for the study. Advanced participants had the experience of living in Canada for at least three years while beginners...

this study was an attempt to investigate the effect of vowel-recognition training on beginner and advanced iranian esl learners. a total of 36 adult iranian esl learners (18 advanced and 18 beginners) who were students of various majors at memorial university (mun) were recruited for the study. advanced participants had the experience of living in canada for at least three years while beginners...

Natural spoken language processing includes not only speech recognition but also identification of the speaker's gender, age, emotional, and social status. Our purpose in this study is to evaluate whether temporal cues are sufficient to support both speech and speaker recognition. Ten cochlear-implant and six normal-hearing subjects were presented with vowel tokens spoken by three men, three wo...

This work explores the use of a discrete wavelet transform, a feature extractor mechanism for speech recognition. Speech recognition is a fascinating application of digital signal processing offering unparalleled opportunities. The real-world applications deploying speech recognition and its implications can be varied across various fields. Speech recognition can automate many tasks that previo...

The recent resurgence of interest in spatio-temporal neural network as speech recognition tool motivates the present investigation. In this paper an approach was developed based on temporal radial basis function “TRBF” looking to many advantages: few parameters, speed convergence and time invariance. This application aims to identify vowels taken from natural speech samples from the Timit corpu...

We present a new type of HMM for vowel-to-consonant (VC) and consonant-to-vowel (CV) transitions based on the locus theory of speech perception. The parameters of the model can he trained automatically using the Baum-Welch algorithm and the training procedure does not require that instances of all possible CV and VC pairs be present. When incorporated into an isolated word recognizer with a 75 ...

We examined the glottal opening pattern during devoicing environment in Japanese, with respect to the factors that facilitate or suppress devoicing. The factors include consonantal environment, dialects, speech rate, consecutive devoicing environment and phrase final position. The results indicated that glottal opening patterns are twofold: a single phaseand a double phase opening for /CVC/. On...