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Upload WAVSplitting.ipynb

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  1. WAVSplitting.ipynb +187 -0
WAVSplitting.ipynb ADDED
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+ {
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 80,
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+ "id": "ecebe95b",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "import librosa\n",
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+ "import os\n",
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+ "import soundfile as sf"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 89,
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+ "id": "ca1d6ddb",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "def splitWAVFile(file_path, short_name, step, folder_path):\n",
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+ " # Load the audio file\n",
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+ " audio, sr = librosa.load(file_path, sr=None)\n",
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+ " \n",
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+ " # Calculate the number of samples per segment\n",
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+ " samples_per_segment = int(step * sr)\n",
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+ " total_segments = len(audio) // samples_per_segment\n",
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+ " \n",
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+ " if not os.path.exists(folder_path):\n",
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+ " os.makedirs(folder_path)\n",
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+ " \n",
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+ " if(len(audio)<samples_per_segment):\n",
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+ " print(drop)\n",
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+ " return\n",
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+ " \n",
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+ " for i in range(total_segments):\n",
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+ " start_sample = i * samples_per_segment\n",
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+ " end_sample = start_sample + samples_per_segment\n",
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+ " \n",
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+ " # Extract the segment\n",
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+ " segment = audio[start_sample:end_sample]\n",
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+ " \n",
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+ " output_path = folder_path+\"/\"+short_name+\"_\"+str(i)+\".wav\"\n",
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+ " sf.write(output_path, segment, sr)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 90,
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+ "id": "ad236328",
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+ "metadata": {
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+ "scrolled": true
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+ "outputs": [
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "nocNoise_folder = \"/Users/lainiecederholm/bat data/Noctula nyctalus with noise\"\n",
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+ "nocNoNoise_folder = \"/Users/lainiecederholm/bat data/Noctula nyctalus with out social sound and noise\"\n",
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+ "pipNoise_folder = \"/Users/lainiecederholm/bat data/Pipistrellus pygmaus with social sound\"\n",
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+ "pipNoNoise_folder = \"/Users/lainiecederholm/bat data/Pipistrellus pygmaus without social sound\"\n",
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+ "\n",
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+ "\n",
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+ "for file in os.listdir(nocNoise_folder):\n",
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+ " if (file.endswith(\".wav\")):\n",
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+ " file_path = \"/Users/lainiecederholm/bat data/Noctula nyctalus with noise/\"+file\n",
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+ " splitWAVFile(file_path, file, 2, \"/Users/lainiecederholm/bat data/Noctula with Noise Crop\")\n",
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+ " \n",
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+ "for file in os.listdir(nocNoNoise_folder):\n",
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+ " if (file.endswith(\".wav\")):\n",
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+ " file_path = \"/Users/lainiecederholm/bat data/Noctula nyctalus with out social sound and noise/\"+file\n",
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+ " splitWAVFile(file_path, file, 2, \"/Users/lainiecederholm/bat data/Noctula without Noise Crop\")\n",
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+ "\n",
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+ "for file in os.listdir(pipNoise_folder):\n",
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+ " if (file.endswith(\".wav\")):\n",
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+ " file_path = \"/Users/lainiecederholm/bat data/Pipistrellus pygmaus with social sound/\"+file\n",
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+ " splitWAVFile(file_path, file, 2, \"/Users/lainiecederholm/bat data/Pipistrellus with Noise Crop\")\n",
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+ " \n",
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+ "for file in os.listdir(pipNoNoise_folder):\n",
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+ " if (file.endswith(\".wav\")):\n",
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+ " file_path = \"/Users/lainiecederholm/bat data/Pipistrellus pygmaus without social sound/\"+file\n",
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+ " splitWAVFile(file_path, file, 2, \"/Users/lainiecederholm/bat data/Pipistrellus without Noise Crop\")\n",
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+ "print(drop)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": null,
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+ "id": "3fc56932",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": []
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.11.4"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+ }