freqs = (k / period)[range(sample_length / 2)] #right-side frequency range
Y = (fft(data * np.hanning(sample_length)) / sample_length)[range(sample_length / 2)]
semilogy(freqs, abs(Y))
def real_plot(data, rate):
fourier = rfft(data)
abs_fourier = abs(fourier)
freqs = rfftfreq(len(fourier), 1.0 / rate)
semilogy(freqs, abs_fourier)
def hanning_real_plot(data, rate):
fourier = rfft(data * np.hanning(len(data)))
abs_fourier = abs(fourier)
freqs = rfftfreq(len(fourier), 1.0 / rate)
semilogy(freqs, abs_fourier)
single_tone = np.array(composer.generate_tone_series([440], 1), dtype = np.int16)
series_tone = np.array(composer.generate_tone_series([100, 200, 400, 800, 1600], 1), dtype = np.int16)
chord_tone = np.array(composer.generate_tone_series([[261.63, 329.63, 392.00]], 2), dtype = np.int16)
song_rate, song = wav.read('wav/bass.wav')
for audio in [single_tone, series_tone, chord_tone, song]:
for method in [standard_plot, hanning_standard_plot, real_plot, hanning_real_plot]:
subplot(2, 1, 1)
plot(audio)
xlabel('Time')
ylabel('Amplitude')
subplot(2, 1, 2)
method(audio, rate)
show()
def create_wav(rate, data, bpm):
duration = 60.0 / bpm #seconds per beat
wav.write('wav/flute_avg.wav', rate, np.array(composer.generate_tone_series(data, duration), dtype = np.int16))