def show_test_vad_record(self, time):
wav = self.record_test_audio(time)
if not wav is None:
test(wav, self.nbc)
if show_plots:
plot = Plotter("DRA")
plot.add_sub_plot_data("Digitized Recorded Audio", wav.get_one_channel_data(), x_label="Samples",
y_label="Amplitude")
plot.sub_plot_all_horizontal(show=False, save=True)
def fft_analyzer_record(self, time):
if time.get() == 0:
time.set(self.default_audio_time)
wav = self.record_test_audio(time)
if not wav is None:
result_str = FFTVoiceAnalyzer.analyze(wav, self.processor)
messagebox.showinfo("Result", result_str)
if show_plots:
plot = Plotter("DRA")
plot.add_sub_plot_data("Digitized Recorded Audio", wav.get_one_channel_data(), x_label="Samples",
y_label="Amplitude")
plot.sub_plot_all_horizontal(show=False, save=True)
def fft_analyzer_select(self, path=path_to_test):
askopenfile = filedialog.askopenfile(filetypes=[("Wave audio files", "*.wav *.wave")], defaultextension=".wav",
initialdir=path)
if not askopenfile is None:
wav = WavFile(askopenfile.name)
result_str = FFTVoiceAnalyzer.analyze(wav, self.processor)
messagebox.showinfo("Result", result_str)
if show_plots:
plot = Plotter("DRA")
plot.add_sub_plot_data("Digitized Recorded Audio", wav.get_one_channel_data(), x_label="Samples",
y_label="Amplitude")
plot.sub_plot_all_horizontal(show=False, save=True)
else:
messagebox.showwarning("Warning", "You should select one file. Please, try again")
def test():
wav = WavFile(path_to_test + '12345678910.wav')
freq, amplitude = FFT.fft(wav)
freq1, amplitude1 = FFT.fft_db_amplitude_wav(wav)
plotter = Plotter("Test FFT Single")
plotter.add_sub_plot_data("data", wav.samples)
plotter.add_sub_plot_data("fft_log_fft", amplitude, freq, scale_x='log', scale_y='log')
plotter.add_sub_plot_data("fft_log_fft_db_hz", amplitude1, freq1, scale_x='log', scale_y='log')
plotter.sub_plot_all_horizontal()
def create_sin_test(time, sample_rate, file_name=None, amplitude=32767, freq_hz=100, is_plot=False):
"""
create test audio file with sin
@param time: length of audio (seconds)
@param sample_rate: sample rate (44100 Hz for example)
@param file_name: name of file for save or None, if you don't wont to save file
@param amplitude: max amplitude
@param freq_hz: dominant frequency
@param is_plot: flag for plot file data
"""
buf_size = sample_rate*time
buffer = list(numpy.zeros(buf_size, int))
for i in range(buf_size):
buffer[i] += int(amplitude * math.sin(float(2 * math.pi * i * freq_hz / sample_rate)))
if is_plot:
plotter = Plotter("Created Sin Test")
plotter.add_sub_plot_data("data", buffer)
plotter.sub_plot_all_horizontal()
if not file_name is None:
WavFile.write(file_name, buffer, time)
def test_all_audio():
sin = WavFile(path_to_test + 'sin100Hz.wav')
noise = WavFile(path_to_test + 'noise.wav')
m = WavFile(path_to_test + 'meandr25Hz.wav')
freq_sin, amplitude_sin = FFT.fft_db_amplitude_wav(sin)
freq_noise, amplitude_noise = FFT.fft_db_amplitude_wav(noise)
freq_m, amplitude_m = FFT.fft_db_amplitude_wav(m)
plotter = Plotter("Test FFT Multiple")
plotter.add_sub_plot_data("sin 100 Hz", sin.samples)
plotter.add_sub_plot_data("fft sin 100 Hz", amplitude_sin, freq_sin, scale_x='log', scale_y='log')
plotter.add_sub_plot_data("noise", noise.samples)
plotter.add_sub_plot_data("fft noise", amplitude_noise, freq_noise, scale_y='log')
plotter.add_sub_plot_data("meandr25Hz", m.samples)
plotter.add_sub_plot_data("fft meandr 25 Hz", amplitude_m[0:2500], freq_m[0:2500], scale_y='log')
plotter.sub_plot_all_horizontal()
def plot_result(wav, word_results, params, min_params, colors, items):
file = Plotter("DAF")
file.add_sub_plot_data("Digitized audio file", wav.get_one_channel_data(), x_label="Samples", y_label="Amplitude")
for i in word_results.keys():
file.add_line_at("Digitized audio file", list(map(lambda x: x * items, word_results[i]["starts"])), "x",
colors[i], lw=3)
file.add_line_at("Digitized audio file", list(map(lambda x: x * items, word_results[i]["ends"])), "x",
colors[i], lw=3)
file.sub_plot_all_horizontal(show=False, save=True)
energy = Plotter("Energy")
energy.add_sub_plot_data("Energy", params["energy"], x_label="Frames", y_label="Energy Value")
energy.add_line_at("Energy", min_params["energy"], "y", color="red")
energy.sub_plot_all_horizontal(show=False, save=True)
mdf = Plotter("MDF")
mdf.add_sub_plot_data("Most Dominant Frequency", params["mdf"], x_label="Frames", y_label="MDF Value")
mdf.add_line_at("Most Dominant Frequency", min_params["mdf"], "y", color="red")
mdf.sub_plot_all_horizontal(show=False, save=True)
zcr = Plotter("ZCR")
zcr.add_sub_plot_data("Zero Crossing Rate", params["zcr"], x_label="Frames", y_label="ZCR Value")
zcr.add_line_at("Zero Crossing Rate", min_params["zcr"], "y", color="red")
zcr.sub_plot_all_horizontal(show=False, save=True)
zcr = Plotter("SFM")
zcr.add_sub_plot_data("Spectral Flatness Measure", params["sfm"], x_label="Frames", y_label="SFM Value")
zcr.add_line_at("Spectral Flatness Measure", min_params["sfm"], "y", color="red")
zcr.sub_plot_all_horizontal(show=False, save=True)
def test():
file = WavFile(path_to_test + "12345678910.wav")
freq, amplitude = FFT.fft_db_amplitude_wav(file)
out = FiniteImpulseFilter.filter(amplitude, 100, file.frame_rate, 20, 50, "hemming")
file_plotter = Plotter("FIR Test DAF")
file_plotter.add_sub_plot_data("Digitized audio file", file.samples, x_label="Samples", y_label="Amplitude")
file_plotter.sub_plot_all_horizontal()
fft_plotter = Plotter("FIR Test FFT")
fft_plotter.add_sub_plot_data("Fast Fourier Transform", amplitude, freq, scale_x='log', scale_y='log',
x_label="Frequency (Hz)", y_label="Amplitude (db)")
fft_plotter.sub_plot_all_horizontal()
fft_plotter = Plotter("FIR Test FIR_FFT")
fft_plotter.add_sub_plot_data("Fast Fourier Transform After FIR", out, freq, scale_x='log', scale_y='log',
x_label="Frequency (Hz)", y_label="Amplitude (db)")
fft_plotter.sub_plot_all_horizontal()
