Hi all,
I'm tring to plotting the audio stream(real-time) using pyAudio with librosa.
I've searching in the Google, and I found some references:
librosa reference:
https://gist.github.com/mailletf/c49063d005dfc51a2df6 pyAudio reference:
https://gist.github.com/ZWMiller/53232427efc5088007cab6feee7c6e4cSo, I've tring to combine both code, like this:
import pyaudio
import numpy as np
import matplotlib.pyplot as plt
import librosa.display as libdis
import librosa
i=0
f,ax = plt.subplots(3)
# Prepare the Plotting Environment with random starting values
x = np.arange(10000)
y = np.random.randn(10000)
# Plot 0 is for raw audio data
li, = ax[0].plot(x, y)
ax[0].set_xlim(0,1000)
ax[0].set_ylim(-5000,5000)
ax[0].set_title("Raw Audio Signal")
# Plot 1 is for the FFT of the audio
li2, = ax[1].plot(x, y)
ax[1].set_xlim(0,5000)
ax[1].set_ylim(-100,100)
ax[1].set_title("Fast Fourier Transform")
# Plot 2 is for librosa test
li3, = ax[2].plot(x, y)
ax[2].set_xlim(0, 5000)
ax[2].set_ylim(-5000,5000)
ax[2].set_title("The librosa Test")
# Show the plot, but without blocking updates
plt.pause(0.01)
plt.tight_layout()
FORMAT = pyaudio.paInt16 # We use 16bit format per sample
CHANNELS = 1
RATE = 44100
CHUNK = 1024 # 1024bytes of data red from a buffer
RECORD_SECONDS = 0.1
#WAVE_OUTPUT_FILENAME = "file.wav"
audio = pyaudio.PyAudio()
# start Recording
stream = audio.open(format=FORMAT,
channels=CHANNELS,
rate=RATE,
input=True)#,
#frames_per_buffer=CHUNK)
global keep_going
keep_going = True
def plot_data(in_data):
# get and convert the data to float
audio_data = np.fromstring(in_data, np.int16)
# Fast Fourier Transform, 10*log10(abs) is to scale it to dB
# and make sure it's not imaginary
dfft = 10.*np.log10(abs(np.fft.rfft(audio_data)))
print(audio_data)
#librosa plotting test
re_audio_data = librosa.resample(audio_data, 44100, 22050)
libdis.waveplot(re_audio_data , sr=22050)
li.set_xdata(np.arange(len(audio_data)))
li.set_ydata(audio_data)
li2.set_xdata(np.arange(len(dfft))*10.)
li2.set_ydata(dfft)
li3.set_xdata(np.arange(len(audio_data)))
li3.set_ydata(audio_data)
# Show the updated plot, but without blocking
plt.pause(0.01)
if keep_going:
return True
else:
return False
# Open the connection and start streaming the data
stream.start_stream()
print("\n+---------------------------------+")
print("Press Ctrl+C to Break Recording |")
print("+---------------------------------+\n")
# Loop so program doesn't end while the stream callback's
# itself for new data
while keep_going:
try:
plot_data(stream.read(CHUNK))
except KeyboardInterrupt:
keep_going=False
except:
pass
# Close up shop (currently not used because KeyboardInterrupt
# is the only way to close)
stream.stop_stream()
stream.close()
audio.terminate()
If I run the code, then stop the plot and notting work.
I think, the line 64, this point is make a problem....
What wrong in this code?
And How do I fix it?
Please help me.
Thank you.