In this study, based on Mel frequency cepstrum coefficient (MFCC) method, the AE signal
characteristics of coal and rock samples were extracted, and the stress state criterion based …

This article introduces the Discrete Path Transform (DPT). Designed to serve as a new tool
for handcraft feature extraction (FE), it improves the elementary analysis provided by signal …

Monitoring acoustic emissions (AE) is an effective way to identify coal deformation and
destruction processes. It is therefore of great significance to analyze the characteristics of AE …

An efficient algorithm for earthmoving device recognition is essential for underground high
voltage cable protection in the mainland of China. Utilizing acoustic signals generated either …

Underground pipeline network surveillance system attracts increasingly attentions recently
due to severe breakages caused by external excavation equipments in the mainland of …

With the rapid rise of online available content, multimedia signal processing has become an
important area of research. The output of the speech/music classifier (SMC) is further used …

This paper covers a particular area of interest in pattern recognition and knowledge-based
systems (PRKbS), being intended for both young researchers and academic professionals …

Deep features generated from deep learning models contain more information for music
classification than short-term features. This paper uses a long-short term memory (LSTM) …

This article proposes a novel feature extraction approach for speech/music classification
based on generalized Gaussian distribution descriptors extracted from IIR-CQT spectrogram …

This work introduces a real-time system to automate the selection of radio stations based on
the listener's preference (either speech/music) by analyzing the incoming audio signals …