Over last two decades, Speaker Recognition has primarily been focused on source, system,
and prosodic features of the speech. The breath, however, has either been treated as a …

Achieving better speech recognition accuracy under real-time conditions is still a
challenging task, and many researchers are striving to improve accuracy. In this paper, we …

Human collaboration has a great impact on the performance of multi-person activities. The
analysis of speaker information and speech timing can be used to extract human …

Today, more and more people have benefited from the speaker recognition. However, the
accuracy of speaker recognition often drops off rapidly because of the low‐quality speech …

Speech signal is enriched with plenty of features used for biometrical recognition and other
applications like gender and emotional recognition. Channel conditions manifested by …

Speaker Recognition Process is susceptible to a several challenges which are critical to
speaker modeling. The main obstacle in speaker identification is the nature of voice signals …

Speaker identification model commonly uses Mel Frequency Ceptral Coefficient (MFCC)
and Gaussian Mixture Model (GMM). Due to many weaknesses from previous studies for …

Most voice biometric systems are dependent on the language of the user. However, if the
idea is to create an all‐inclusive and reliable system that uses speech as its input, then they …

Designing an authentication system for securing the power plants are important to allow only
specific staffs of the power plant to access the certain blocks so that they can be restricted …

The use of speech for system identification is an important and relevant topic. There are
several ways of doing it, but most are dependent on the language the user speaks …