Arabic Vowel Discrimination Using Adabtive Threshold Wavelet Algorithm
نویسندگان
چکیده
In speaking, vowels are produced by exciting an essentially fixed vocal tract shape with quasi-periodic pulses of air caused by the vibration of the vocal cords. The way in which the cross sectional area varies along the vocal tract determines the resonance frequencies of the tract (the formants) and thereby the sound that is produced. The vowel sound produced is determined primarily by the position of the tongue, but the positions of the jaw, lips, and to a small extent, the velum, also influence the resulting sound. A convenient and simplified way of classifying vowel articulatory configurations is in terms of the tongue hump position (i.e., front, mid, back), and tongue hump height (high, mid, low), where the tongue hump is the mass of the tongue at its narrowest constriction within the vocal tract. According to this classification the vowels /i/, /I/, /æ/, and /ε/ are front vowels, (with different tongue height) /a/, /Λ/, and /c/ are mid vowels, and /U/, /u/, and /o/ are back vowels.
منابع مشابه
A Novel Method for Arabic Consonant/Vowel Segmentation Using Wavelet Transform
Automatic speech segmentation is a key step for building large vocabulary and continuous speech recognition systems. An alternative method is to use manual speech segmentation, which is tedious, time consuming, subjective and error prone. Many automatic speech segmentation methods have been proposed based on linguistic information such as phonetic transcription (phonetic string) but for real ti...
متن کاملComparative Analysis of Image Denoising Methods Based on Wavelet Transform and Threshold Functions
There are many unavoidable noise interferences in image acquisition and transmission. To make it better for subsequent processing, the noise in the image should be removed in advance. There are many kinds of image noises, mainly including salt and pepper noise and Gaussian noise. This paper focuses on the research of the Gaussian noise removal. It introduces many wavelet threshold denoising alg...
متن کاملResearch on Discrimination and Denoising of Weak Gas Leakage in Aircraft Air-Tightness System
Under the environment of complex electromagnetic interference at the airport, high frequency weak signal produced by gas leakage of aircraft air-tightness system, can’t be accurately judged alone by testing instrument. For better developing useful signal discrimination, and improving testing effect of gas leakage signal, in the paper, wavelet threshold denoising algorithm and chaos system are a...
متن کاملExperiments with Wavelet based Image De-noising using Generalized Cross Validation
De-noising algorithms based on wavelet thresholding replace small wavelet coefficients by zero and keep or shrink the coefficients with absolute value above the threshold. The optimal threshold minimizes the error of the result as compared to the unknown, exact data. To estimate this optimal threshold, we use Generalized Cross Validation. This procedure does not require an estimation for the no...
متن کاملArabic vowels recognition based on wavelet average framing linear prediction coding and neural network
In this work, an average framing linear prediction coding (AFLPC) technique for speaker-independent Arabic vowels recognition system was proposed. Usually, linear prediction coding (LPC) has been applied in many speech recognition applications, however, the combination of modified LPC termed AFLPC with wavelet transform (WT) is proposed in this study for vowel recognition. The investigation pro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2008