Speech processing applications have become integral components across various domains
of modern life. The design and preparation of a reliable recognition system rely heavily on …

The approach proposed in this study includes methods specifically dedicated to the
detection of allophonic variation in English. This study aims to find an efficient method for …

Automatic speech recognition system is one of the essential ways of interaction with
machines. Interests in speech based intelligent systems have grown in the past few …

Purpose: The purpose of this study is to document evidence of phonological transfer in
bilingual preschoolers. Specifically, we focus on the phonological development of bilingual …

Holy Quran Reader Identification is the process of identifying the reader or reciter of the Holy
Quran based on several features in the corresponding acoustic wave. In this research, we …

The goal of this study is to provide crosslinguistic data on the acquisition of phonetic
complexity among children acquiring four different languages: Tunisian Arabic, Tashlhiyt …

In attempt to increase the rate of Arabic phonemes recognition, we introduce a novel hybrid
recognition algorithm. The algorithm is composed of the learning vector quantization (LVQ) …

Digital speech processing applications including automatic speech recognition (ASR),
speaker recognition, speech translation, and others, essentially require large volumes of …

The efficiency and correctness of continuous Arabic Speech Recognition Systems (ARS)
hinge on the accuracy of the language phoneme set. The main goal of this research is to …

Se reporta la frecuencia de los 28 fonemas del mapudungun (variedad central), en un
corpus lexemático monomorfémico elaborado a partir del Diccionario de mapudungún …