By Yves André
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34). The energy operation calculates the sum of the absolute amplitude values in a frame of data divided by the number of points in the frame. The energy is first computed and then converted to decibels of sound pressure (dB SPL). 48 2. 34 Energy contour (ENERGY) of the original speech signal. • Compute Result Statistics: The program provides facilities to display, print and save a series of statistical analyses that are derived from the most recently commuted analysis results in the active window.
These images have been considered for the research mentioned in chapter “Proposed EEG/Speech-Based Emotion Recognition System: A Case Study” of this book. • Tools-Frequency Progressive: Fig. 15 shows frequency progression maps. The yellow bar of EEG trace represents 2 s of selected EEG signals. The right side shows frequency maps for bands definable by the user in the menu by clicking user frequency bands. • User Frequency Bands: Fig. 16 shows the user frequency bands. The user can define 12 bands to be used in progressive frequency maps.
The voiced frame is determined by calculating the energy contained within certain bandwidths. A simple energy calculation is able to yield speech frames which contain a relatively strong pitch feature. The amplitude of unvoiced segments is noticeably lower than that of the voiced segments. 15 The graphical representation of energy feature in speech signal is shown in Fig. 2. We can obtain the statistics of energy with the mean value, maximum value, variance, variation range, and contour of energy.