diff --git a/Manual/4_Module_2.ipynb b/Manual/4_Module_2.ipynb
index ba8f2e5..87475a5 100644
--- a/Manual/4_Module_2.ipynb
+++ b/Manual/4_Module_2.ipynb
@@ -623,19 +623,20 @@
    "source": [
     "import sounddevice as sd\n",
     "\n",
-    "device_index = 15      # your input device index\n",
-    "Fs = 48000            # sample rate\n",
+    "#device_index = 15      # your input device index\n",
+    "#Fs = 48000            # sample rate\n",
     "\n",
     "# Open 5‑channel float32 input stream on that device\n",
-    "stream = sd.InputStream(\n",
-    "    device=device_index,   # or device=(device_index, None) for in/out\n",
-    "    channels=5,\n",
-    "    samplerate=Fs,\n",
-    "    dtype='float32',       # 16‑bit would be 'int16'\n",
+    "#stream = sd.InputStream(\n",
+    "#    device=device_index,   # or device=(device_index, None) for in/out\n",
+    "#    channels=5,\n",
+    "#    samplerate=Fs,\n",
+    "#    dtype='float32',       # 16‑bit would be 'int16'\n",
     "    # or True, depending on how you use it\n",
-    ")\n",
+    "#)\n",
     "\n",
-    "stream.start()\n"
+    "#stream.start()\n",
+    "#stream.stop()"
    ]
   },
   {
@@ -657,11 +658,16 @@
    "outputs": [],
    "execution_count": null,
    "source": [
-    "Fs = 48000  # Sampling frequency\n",
-    "N = 5*Fs  # 2 seconds of audio data\n",
-    "samples,_ = stream.read(N)\n",
-    "samples_reshaped = np.array(samples)\n",
-    "print(samples_reshaped.shape)"
+    "Fs = 48000\n",
+    "duration = 30\n",
+    "N = int(Fs * duration)\n",
+    "\n",
+    "sd.default.device = 15   # or a substring of its name\n",
+    "sd.default.samplerate = Fs\n",
+    "\n",
+    "samples = sd.rec(N, samplerate=Fs, channels=5)\n",
+    "sd.wait()\n",
+    "print(samples.shape)"
    ]
   },
   {
@@ -708,16 +714,22 @@
    "execution_count": null,
    "source": [
     "### Student Version ###\n",
+    "samples_reshaped = np.array(samples)\n",
     "fig, ax = plt.subplots(5,1,figsize=(20,30))\n",
     "\n",
-    "t = np.arange(0,5,1/Fs)\n",
+    "t = np.arange(0,N/Fs,1/Fs)\n",
     "ax[0].plot(t,samples_reshaped[:,0])\n",
     "ax[1].plot(t,samples_reshaped[:,1])\n",
     "ax[2].plot(t,samples_reshaped[:,2])\n",
     "ax[3].plot(t,samples_reshaped[:,3])\n",
     "ax[4].plot(t,samples_reshaped[:,4])\n",
+    "for ax_in in ax:\n",
+    "    ax_in.set_xlabel('Time (s)')\n",
+    "    ax_in.set_ylabel('Amplitude')\n",
     "fig.show()\n",
     "\n",
+    "from scipy.io import wavfile\n",
+    "wavfile.write(\"./audio_beacon_67676767_10s_driving.wav\", Fs, samples_reshaped.astype(np.float32))\n",
     "# TODO: Plot the data for each microphone"
    ]
   },