pyaudio 실시간듣기.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pyaudio\n",
"import wave"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"* recording\n",
"* done recording\n"
]
}
],
"source": [
"CHUNK = 1024\n",
"FORMAT = pyaudio.paInt16\n",
"CHANNELS = 1\n",
"RATE = 25600\n",
"RECORD_SECONDS = 10\n",
"WAVE_OUTPUT_FILENAME = \"test.wav\"\n",
"\n",
"p = pyaudio.PyAudio()\n",
"\n",
"stream = p.open(format=FORMAT,\n",
" channels=CHANNELS,\n",
" rate=RATE,\n",
" input=True,\n",
" frames_per_buffer=CHUNK)\n",
"\n",
"print(\"* recording\")\n",
"\n",
"frames = []\n",
"\n",
"for i in range(0, int(RATE / CHUNK * RECORD_SECONDS)):\n",
" data = stream.read(CHUNK)\n",
" frames.append(data)\n",
"\n",
"print(\"* done recording\")\n",
"\n",
"stream.stop_stream()\n",
"stream.close()\n",
"p.terminate()\n",
"\n",
"wf = wave.open(WAVE_OUTPUT_FILENAME, 'wb')\n",
"wf.setnchannels(CHANNELS)\n",
"wf.setsampwidth(p.get_sample_size(FORMAT))\n",
"wf.setframerate(RATE)\n",
"wf.writeframes(b''.join(frames))\n",
"wf.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}