Speech Enhancement Project

Speech Enhancement Project - Speech Enhancement Using a...

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Unformatted text preview: Speech Enhancement Using a Minimum Mean Square Error Short-Time Spectral Amplitude Estimation method Process Flow FFT and Phase Calculation Enhancement and Reconstruction Gain Calculation Signal to Noise Ratio Calculation Noise Power Spectrum Calculation Segmenting of the Signal Repeat for each segment Segmenting of Signal The sample is divided into frames whose length is equal to 25ms with a shift percentage of 40% or 10ms. The Window Length is equal to the 25ms times the Sampling Frequency. – Example Sampling Frequency is equal to 8000 samples/s Window Length = 0.025s * 8000 samples/s = 200 samples Each frame is then windowed using a Hamming window. Initial Silence Segments The initial silence or speech inactivity period is assumed to be 250ms. – This is to allow for a sufficient amount of data to be analyzed for the Noise Spectrum prior to attempting Voice Activity Detection (VAD). The Number of Initial Silence Segments (NISS) = (Initial Silence * Sampling Frequency - Window Length)/(Shift Percentage* Window Length). – Example Using our previous values. NISS = (0.25s * 8000 samples/s - 200 samples)/0.4*200 samples = 22.5....
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This note was uploaded on 02/11/2012 for the course ECE 5525 taught by Professor Staff during the Fall '10 term at FIT.

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Speech Enhancement Project - Speech Enhancement Using a...

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