Exemple #1
0
    def __init__(self):
        wx.Frame.__init__(self, None, -1, self.title)
        
        self.data = [5, 6, 9, 14]
        
        self.create_menu()
        self.create_status_bar()
        
        self.create_main_panel()
        
        #self.textbox.SetValue(' '.join(map(str, self.data)))

        self.draw_figure()
        
        print 'Training.'
        self.musicsearch = main.Search(8, 32)
        for f in os.listdir('train'):
            print f
            x, fs, enc = mir.wavread('train/'+f)
            self.musicsearch.add(x, fs, f)
        print 'Done training.'
Exemple #2
0
    def __init__(self):
        wx.Frame.__init__(self, None, -1, self.title)

        self.data = [5, 6, 9, 14]

        self.create_menu()
        self.create_status_bar()

        self.create_main_panel()

        #self.textbox.SetValue(' '.join(map(str, self.data)))

        self.draw_figure()

        print 'Training.'
        self.musicsearch = main.Search(8, 32)
        for f in os.listdir('train'):
            print f
            x, fs, enc = mir.wavread('train/' + f)
            self.musicsearch.add(x, fs, f)
        print 'Done training.'
Exemple #3
0
        return self.results(labels)
        
    def results(self, labels):
        r = defaultdict(int)
        for label in labels:
            r[label[0]] += 1
        return sorted(r.iteritems(), key=lambda x:x[1], reverse=True)
            
    def preprocess(self, x, fs):
        if x.ndim==2:
            x = x[:,0].squeeze()
        if int(fs) != int(self.fs):
            x = scipy.signal.resample(x, x.size*self.fs/fs)
            print 'Resampling to 44100'
        return x
    
if __name__ == '__main__':
    
    t0 = time.clock()
    s = Search(15, 32)
    for f in os.listdir('train'):
        x, fs, enc = mir.wavread('train/'+f)
        s.add(x, fs, f)
    print time.clock() - t0
    
    
    x, fs, enc = mir.wavread('test/steve02.wav')
    results = s.query(x, fs)
    
    
Exemple #4
0
        print 'Query Time: ', (time.clock() - t0)
        return self.results(labels)

    def results(self, labels):
        r = defaultdict(int)
        for label in labels:
            r[label[0]] += 1
        return sorted(r.iteritems(), key=lambda x: x[1], reverse=True)

    def preprocess(self, x, fs):
        if x.ndim == 2:
            x = x[:, 0].squeeze()
        if int(fs) != int(self.fs):
            x = scipy.signal.resample(x, x.size * self.fs / fs)
            print 'Resampling to 44100'
        return x


if __name__ == '__main__':

    t0 = time.clock()
    s = Search(15, 32)
    for f in os.listdir('train'):
        x, fs, enc = mir.wavread('train/' + f)
        s.add(x, fs, f)
    print time.clock() - t0

    x, fs, enc = mir.wavread('test/steve02.wav')
    results = s.query(x, fs)