Biometric authentication can be implemented in multi-factor authentication as a cost-
effective, straightforward, and dependable method. Voice recognition systems that match the …

Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which
is required in various human–machine interaction applications. It is utilized in phone-based …

Accent recognition is a significant area of research, whose importance has increased in
recent years. Numerous studies have been carried out using various languages to improve …

To combat the Covid-19 outbreak, the education system shifted away from the classroom to
distinct e-learning on digital platforms, which made effective use of voice-based recognition …

This chapter presents a comprehensive discussion of medical image modalities and
processing techniques. The importance, requirements, and unique challenges facing …

This article provides a comprehensive analysis of the feature extraction methods applied to
vibro-acoustic signals (VA signals) in the context of robot-assisted interventions. The primary …

The aim of this study is to evaluate and compare machine learning algorithms when various
feature extraction techniques are employed together and determine the optimal feature …

Voice biometrics is challenging in many aspects, ranging from voice data acquisition
through processing down to the matching module. Some of the challenges of an automatic …

We developed the framework for biometric user authentication based on dynamic
handwritten signature recognition using a graphics tablet. The framework was developed in …

In recent years, with the development of video websites such as YouTube, TikTok, and
Bilibili, a great number of auto-tune remix audios are produced every day. Auto-tune remix …