Merge branch 'master' into vendor_class_zero_length_transfer

1 files changed, 37 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
new file mode 100644
index 000000000..c92e49957
--- /dev/null
+++ b/examples/device/audio_test_multi_rate/src/plot_audio_samples.py
@@ -0,0 +1,37 @@
+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')