Speech recordings are a rich source of personal, sensitive data that can be used to support
a plethora of diverse applications, from health profiling to biometric recognition. It is therefore …

Privacy preservation and the protection of speech data is in high demand, not least as a
result of recent regulation, eg the General Data Protection Regulation (GDPR) in the EU …

Age and gender are two factors that affect the physiologic and acoustic features of human
voice. In fact, most of the speech emotion recognition applications use these voice features …

Purpose The aim of the study was to examine associations between speaking fundamental
frequency (f os), vowel formant frequencies (F), listener perceptions of speaker gender, and …

Data Envelopment Analysis (DEA) is a powerful data analytic tool that is widely used by
researchers and practitioners alike to assess relative performance of Decision Making Units …

Speech emotion recognition is a difficult task in the field of affective computing because
emotions in speech heavily depend on a variety of factors such as feeling, thought …

The competitive nature of the business environment requires the productivity-driven
organization to be aware of its relative level of effectiveness and efficiency vis-à-vis its …

This paper presents novel features and an architecture for an automatic on-line acoustic
classification and segmentation system. The system includes speech/non-speech …

Nowadays the interaction between humans and machines is quite possible and friendly
because of the speech recognition system. The gender identification system has been used …

In this paper, we address the speech‐based gender identification problem. Mel‐Frequency
Cepstral Coefficients (MFCC) of voice samples are typically used as the features for gender …