{ "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 }