Create recorder.py helper for getting audio clips (#1010)

This helper script will record audio from microphone.

Co-authored-by: Alexander Suvorov <[email protected]>

samples/python/whisper_speech_recognition/recorder.py

@@ -0,0 +1,50 @@
+#!/usr/bin/env python3
+# Copyright (C) 2024 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+# Setup Instruction
+#1. Install Dependencies with `pip install pyaudio`
+#2. Run python recorder.py
+#3. Record for 5 seconds and wait for the process to complete
+#4. Check directory to see the recording file (output.wav)
+
+import pyaudio
+import wave
+
+chunk = 1024  # Record in chunks of 1024 samples
+sample_format = pyaudio.paInt16  # 16 bits per sample
+channels = 1
+fs = 16000  # Record at 16k samples per second
+seconds = 5 
+filename = "output.wav"
+
+p = pyaudio.PyAudio()  # Create an interface to PortAudio
+
+print('Recording')
+stream = p.open(format=sample_format,
+                channels=channels,
+                rate=fs,
+                frames_per_buffer=chunk,
+                input=True)
+
+frames = []  # Initialize array to store frames
+
+# Store data in chunks for 3 seconds
+for i in range(0, int(fs / chunk * seconds)):
+    data = stream.read(chunk)
+    frames.append(data)
+
+# Stop and close the stream 
+stream.stop_stream()
+stream.close()
+# Terminate the PortAudio interface
+p.terminate()
+print('Finished recording')
+
+# Save the recorded data as a WAV file
+wf = wave.open(filename, 'wb')
+wf.setnchannels(channels)
+wf.setsampwidth(p.get_sample_size(sample_format))
+wf.setframerate(fs)
+wf.writeframes(b''.join(frames))
+wf.close()