a-nagrani / svhf-net Goto Github PK

Hi,
I am trying to run the example to convert wav file to spectrogram. Can you please provide a running example. Thank you.

`Tw = 25; % analysis frame duration (ms)

Ts = 10; % analysis frame shift (ms)

alpha = 0.97; % preemphasis coefficient

R = [ 300 3700 ]; % frequency range to consider

M = 20; % number of filterbank channels

C = 13; % number of cepstral coefficients

L = 22; % cepstral sine lifter parameter

%

% hamming window (see Eq. (5.2) on p.73 of [1])

hamming = @(N)(0.54-0.46cos(2pi*[0:N-1].'/(N-1)));

%

% Read speech samples, sampling rate and precision from file

[ speech, fs, nbits ] = wavread( 'sp10.wav' );

%

% Feature extraction (feature vectors as columns)

[ MFCCs, FBEs, frames ] = ...
mfcc( speech, fs, Tw, Ts, alpha, hamming, R, M, C, L );

%
% Plot cepstrum over time

figure('Position', [30 100 800 200], 'PaperPositionMode', 'auto', ...
'color', 'w', 'PaperOrientation', 'landscape', 'Visible', 'on' );

%
imagesc( [1:size(MFCCs,2)], [0:C-1], MFCCs );

axis( 'xy' );

xlabel( 'Frame index' );

ylabel( 'Cepstrum index' );

title( 'Mel frequency cepstrum' ); `

I used Keras to implement the network in the paper, but the network did not learn at all, the loss did not decline, and the accuracy was always about 0.5.