Speech recognition using a wavelet packet adaptive network based fuzzy inference system

An Echocardiogram Diagnosis System based on LDA and Fuzzy C Mean Unsupervised Classifier

“…True positive (TP), true negative (TN), false negative (FN), and false positive (FP) terms are commonly used along with the description of sensitivity, specificity and accuracy. Sensitivity, specificity and accuracy are described in the following equations [18][19][20] …”

An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

“…. ; 15 (Avic & Akpolat, 2006). The low frequencies in Shannon entropy of E 0 will not used because it probably contains massive noise.…”

“…In 2005, Hu et al proposed a novel and simple method to extract the feature from surface EMG signals based on WPT which the features are the relative wavelet packet energy (RWPE) evaluated by several selected frequency bands (Hu, Wang, & Ren, 2005). In 2006, Avic and Akpolat developed an expert system for speech recognition (Avic & Akpolat, 2006). In the study, wavelet packet adaptive network-based fuzzy inference system was proposed combining feature extraction and classification for real speech signals.…”

Review of Recent Advances in the Application of the Wavelet Transform to Diagnose Cracked Rotors

“…From this, new techniques allowed for the application of WT to a signal using recursive-filtering banks. Recently, WT has become the most widely applied tool in signal processing in many different fields such as voice recognition [27,28], noise reduction [29,30], electrocardiographs [31], and radio-frequency interference mitigation [32], amongst others.…”