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authorhathach <[email protected]>2025-02-12 11:28:16 +0700
committerhathach <[email protected]>2025-02-12 11:28:16 +0700
commit87adc63226a59e6c2602b1bc453ced77d44fedba (patch)
tree1e47a80bfab09dbac47312b4242939df03ec7796 /examples/device/audio_test_multi_rate/src/plot_audio_samples.py
parentb41f5eadb3143d0bfaf211d9bc84c95e5d623c29 (diff)
parent5afcfb7522c4fd8b50512cfb277d8a3ccdbc5453 (diff)
Merge branch 'master' into fork/atoktoto/midihost
# Conflicts: # hw/bsp/rp2040/family.cmake # src/class/midi/midi.h # src/class/midi/midi_device.c # src/device/usbd_control.c # src/host/hcd.h # src/host/usbh.c # src/host/usbh.h
Diffstat (limited to 'examples/device/audio_test_multi_rate/src/plot_audio_samples.py')
-rwxr-xr-xexamples/device/audio_test_multi_rate/src/plot_audio_samples.py38
1 files changed, 38 insertions, 0 deletions
diff --git a/examples/device/audio_test_multi_rate/src/plot_audio_samples.py b/examples/device/audio_test_multi_rate/src/plot_audio_samples.py
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index 000000000..1f33a003e
--- /dev/null
+++ b/examples/device/audio_test_multi_rate/src/plot_audio_samples.py
@@ -0,0 +1,38 @@
+#!/usr/bin/env python3
+import sounddevice as sd
+import matplotlib.pyplot as plt
+import numpy as np
+import platform
+import csv
+
+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 = 96000 # 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()
+
+ samples = np.array(myrecording)
+ np.savetxt('Output.csv', samples, delimiter=",", fmt='%s')