Speaker Recognition is a challenging topic in Speech Processing research area. The
various models proposed have succeeded in achieving a fairly high level of accuracy in this …

This paper presents an efficient approach for automatic speaker identification based on
cepstral features and the Normalized Pitch Frequency (NPF). Most relevant speaker …

Natural Language Processing (NLP) is a group of theoretically inspired computer structures
for analyzing and modeling clearly going on texts at one or extra degrees of linguistic …

Voice is one of the vital biometrics in human identification and/or verification area. In this
paper, two different models are proposed for speaker identification which are a 1D …

Speech emotion recognition (SER) systems have evolved into an important method for
recognizing a person in several applications, including e-commerce, everyday interactions …

Patients with dysarthria and physical impairments face challenges with traditional user
interfaces. An Automatic Speaker Verification (ASV) system can enhance accessibility by …

Keyword spotting (KWS) is one of the speech recognition tasks most sensitive to the quality
of the feature representation. However, the research on KWS has traditionally focused on …

At present, most of the speaker recognition models are based on the MFCC cepstrum
feature of the mixture Gaussian model, because MFCC represents the speaker's voice …

The research on speech recognition systems currently focuses on the analysis of robust
speech recognition systems. When the speech signals are combined with noise, the …

This paper presents an automatic speaker identification and speech recognition for Arabic
digits in noisy environment. In this work, the proposed system is able to identify the speaker …