Audio classification is regarded as a great challenge in pattern recognition. Although audio
classification tasks are always treated as independent tasks, tasks are essentially related to …

The identification and investigation of fatigue crack evolution and damage modes in asphalt
mixtures are crucial for understanding the corresponding mechanisms and characteristics of …

Classifying the speech of non-native English speakers is challenging due to various features
that distinguish accents. Accents vary by sex, age, formality, social status, geographical …

According to the rapid spread of multimedia data and online observations by users, the
importance of researching on machine vision also, analyzing and automatic understanding …

The automatic identification of foreign accents can play a crucial role in various speech
systems, including speaker identification, e-learning, telephone banking, and more …

This paper proposes a new linear prediction residual-based constant-Q cepstral coefficients
(LPR-CQCC) feature for replay attack detection (RAD). The main contribution of the …

Improving the accuracy of box office revenue forecasts is conducive to stimulating the
creation, market investment, infrastructure construction, and rational allocation of public …

A brainwave classification, which does not involve any limb movement and stimulus for
character-writing applications, benefits impaired people, in terms of practical …

Speaker Accent Recognition (SAR) is an active area of signal processing research that aims
at identifying speaker's accent from different audio speech signals. Applications of SAR …

The modernization of the xkl software, originally developed by Dennis Klatt at MIT in the
1980s, was a major goal of this research work. The introduction of a new Graphical User …