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author | joeycastillo <joeycastillo@utexas.edu> | 2021-08-30 14:42:11 -0400 |
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committer | GitHub <noreply@github.com> | 2021-08-30 14:42:11 -0400 |
commit | eb3d9b26cbda2d2612f11eb39843b221224f1fa7 (patch) | |
tree | 7a514b4d21dd0d2a324a5e1313a144f26bf20799 /tinyusb/examples/device/audio_test/src/plot_audio_samples.py | |
parent | ee9cc322d301631c9ff0751d9bed717c6492b6a5 (diff) | |
parent | b0845cc3f1a8234a30c980eccf10e44765e4e105 (diff) | |
download | Sensor-Watch-eb3d9b26cbda2d2612f11eb39843b221224f1fa7.tar.gz Sensor-Watch-eb3d9b26cbda2d2612f11eb39843b221224f1fa7.tar.bz2 Sensor-Watch-eb3d9b26cbda2d2612f11eb39843b221224f1fa7.zip |
Merge pull request #9 from joeycastillo/usb-refactor
USB refactor / Makefile simplification
Diffstat (limited to 'tinyusb/examples/device/audio_test/src/plot_audio_samples.py')
-rwxr-xr-x | tinyusb/examples/device/audio_test/src/plot_audio_samples.py | 34 |
1 files changed, 34 insertions, 0 deletions
diff --git a/tinyusb/examples/device/audio_test/src/plot_audio_samples.py b/tinyusb/examples/device/audio_test/src/plot_audio_samples.py new file mode 100755 index 00000000..6e3c4978 --- /dev/null +++ b/tinyusb/examples/device/audio_test/src/plot_audio_samples.py @@ -0,0 +1,34 @@ +import sounddevice as sd +import matplotlib.pyplot as plt +import numpy as np +import platform + +if __name__ == '__main__': + + # If you got "ValueError: No input device matching", that is because your PC name example device + # differently from tested list below. Uncomment the next line to see full list and try to pick correct one + # print(sd.query_devices()) + + fs = 48000 # Sample rate + duration = 100e-3 # Duration of recording + + if platform.system() == 'Windows': + # MME is needed since there are more than one MicNode device APIs (at least in Windows) + device = 'Microphone (MicNode) MME' + elif platform.system() == 'Darwin': + device = 'MicNode' + else: + device ='default' + + myrecording = sd.rec(int(duration * fs), samplerate=fs, channels=1, dtype='int16', device=device) + print('Waiting...') + sd.wait() # Wait until recording is finished + print('Done!') + + time = np.arange(0, duration, 1 / fs) # time vector + plt.plot(time, myrecording) + plt.xlabel('Time [s]') + plt.ylabel('Amplitude') + plt.title('MicNode') + plt.show() +
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