Abstract In this paper, we propose a supervised single-channel speech enhancement method that combines Kullback-Leibler (KL) divergence-based non-negative matrix factorization (NMF) and hidden Markov model (NMF-HMM). With the integration of HMM, temporal dynamics information signals can be taken into account. This includes training stage an stage. stage, sum Poisson distribution, leading to KL ...

Sub-wavelength nanostructured systems with tunable electromagnetic properties, such as hyperbolic metamaterials (HMMs), provide a useful platform to tailor spontaneous emission processes. Here, we investigate system comprising Eu3+(NO3)3·6H2O nanocrystals on an HMM structure featuring hexagonal array of Ag nanowires in porous Al2O3 matrix. The HMM-coupled Eu3+ ions exhibit up 2.4 fold increase ...

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

background: since psychological tests such as questionnaire or drawing tests are almost qualitative, their results carry a degree of uncertainty and sometimes subjectivity. the deficiency of all drawing tests is that the assessment is carried out after drawing the objects and lots of information such as pen angle, speed, curvature and pressure are missed through the test. in other words, the ps...

The wireless power terminals are deployed in harsh public places and lack strict control, facing security problems. Thus, they faced with problems such as illegal counterfeit terminal access, unlawful control of connected terminals, etc. intrusion detection system based on machine learning artificial intelligence significantly improve the side’s abnormal capacity. In this article, we aim at ide...