With the continuing growth of voice-controlled devices, voice metrics have been widely used
for user identification. However, voice biometrics is vulnerable to replay attacks and ambient …

In this paper, we present a novel pipelined near real-time speaker recognition architecture
that enhances the performance of speaker recognition by exploiting the advantages of …

In this paper, a novel architecture is proposed using a convolutional neural network (CNN)
and mel frequency cepstral coefficient (MFCC) to identify the speaker in a noisy …

Holy Quran recitation recognition refers to the process of identifying the type of recitation,
among those authorized styles of recitation (“Qira'ah” in Arabic). Several previous studies …

In the subject of pattern recognition, speech recognition is an important study topic. The
authors give a detailed assessment of voice recognition strategies for several majority …

With the continuing growth of voice-controlled devices, voice metrics have been widely used
for user identification. However, voice biometrics is vulnerable to replay attacks and ambient …

This paper describes our experience to create a secure Telephony Amazigh Spoken System
over the network. The designed system was created by combining HMM automatic speech …

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 …

This paper is a part of our contribution to research on the enhancement of network automatic
speech recognition system performance. We built a highly configurable platform by using …

Automatic speech recognition (ASR) is the process that concerns the permit of the machines
to accept speech input from humans and interpret it with the highest precision probability …