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{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<_io.BufferedRandom name='combined_trimmed_original.mp3'>"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from pydub import AudioSegment\n",
"from pydub.playback import play\n",
"\n",
"audio1 = AudioSegment.from_file(\"instrumental_trimmed.mp3\", format=\"mp3\")\n",
"audio2 = AudioSegment.from_file(\"voice_trimmed.mp3\", format=\"mp3\")\n",
"\n",
"length = max(len(audio1), len(audio2))\n",
"audio1 = audio1 + AudioSegment.silent(duration=length - len(audio1))\n",
"audio2 = audio2 + AudioSegment.silent(duration=length - len(audio2))\n",
"\n",
"combined = audio1.overlay(audio2)\n",
"\n",
"combined.export(\"combined_trimmed_original.mp3\", format=\"mp3\")\n"
]
}
],
"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": "3.8.13"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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