Comparison Between Features Extraction Techniques for Impairments Arabic Speech

Augmented context features for Arabic speech recognition

We investigate different types of features for language modeling in Arabic automatic speech recognition. While much effort in language modeling research has been directed at designing better models or smoothing techniques for n-gram language models, in this paper we take the approach of augmenting the context in the n-gram model with different sources of information. We start by adding word cla...

Techniques for high quality Arabic speech synthesis

The paper proposes a diphone/sub-syllable method for Arabic Text-to-speech systems. The proposed approach exploits the particular syllabic structure of the Arabic words. For good quality, the boundaries of the speech segments are chosen to occur only at the sustained portion of vowels. The speech segments consists of consonantshalf vowels, half vowel-consonants, half vowels, middle portion of v...

Comparison Between Different Methods for Epoch Extraction from Speech Signal

Speech is produced by exciting the vocal tract system by an excitation source. The excitation is significant at the instants of glottal closure. These instants of significant excitation are called Epochs. Epochs play a significant role in speech processing and is used are used in many applications. There are different methods for extraction of epochs from speech signal. In this paper we have di...

Comparison of the Speech Syntactic Features between Hearing-Impaired and Normal Hearing Children

Introduction: The present study seeks to describe and analyze the syntactic features of children with severely hearing loss who had access to the hearing aids compared with children with normal hearing, assigning them to the same separate gender classes.   Materials and Methods: In the present study, eight children with severe hearing impairment who used a hearing aid and eight hearing children...

A Novel Method for Multifont Arabic Characters Features Extraction