{"cells":[{"metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true},"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nimport warnings\nwarnings.filterwarnings(\"ignore\")\nimport matplotlib.pyplot as plt\nimport librosa\nimport os\nos.chdir(\"/kaggle/input/train/audio\")\ngenel_yol=\"/kaggle/input/train/audio/\"\nos.listdir()\n#Audio içindeki seslere göre klasörler.","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Bir sesi oynatma**"},{"metadata":{"_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","trusted":true},"cell_type":"code","source":"import IPython.display as ipd\nipd.Audio(genel_yol+\"/yes/\"+\"df1d5024_nohash_3.wav\")","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"x, sr=librosa.load(genel_yol+\"/yes/\"+\"df1d5024_nohash_3.wav\")\nprint(x.shape,sr)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"import librosa.display\nplt.figure(figsize=(10,5))\nlibrosa.display.waveplot(x,sr=sr);","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Zero Crossing Rate**"},{"metadata":{"trusted":true},"cell_type":"code","source":"zero_cross=librosa.feature.zero_crossing_rate(x)\nprint(\"Zero Crossing Rate: \",np.mean(zero_cross))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Spectral Centroid**"},{"metadata":{"trusted":true},"cell_type":"code","source":"spec_centroid=librosa.feature.spectral_centroid(x,sr=sr)[0]\nprint(np.mean(spec_centroid))","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Spectral RollOff**"},{"metadata":{"trusted":true},"cell_type":"code","source":"spec_rolloff=librosa.feature.spectral_rolloff(x,sr=sr)\nnp.mean(spec_rolloff)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"**Mel Frekans**"},{"metadata":{"trusted":true},"cell_type":"code","source":"mfk=librosa.feature.mfcc(x,sr=sr)\nmfk.shape","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"genel_yol=\"/kaggle/input/train/audio/\"\nliste=[]\nturler=[]\nadım=0\nfor tur in os.listdir(genel_yol)[0:2]:#dog ve left\n    for ses in os.listdir(genel_yol+tur):\n        x,sr=librosa.load(genel_yol+tur+\"/\"+ses,duration=30)\n        liste.append([np.mean(i) for i in librosa.feature.mfcc(x,sr=sr)])\n        liste[adım].append(np.mean(librosa.feature.zero_crossing_rate(x)))\n        liste[adım].append(np.mean(librosa.feature.spectral_centroid(x,sr=sr)))\n        liste[adım].append(np.mean(librosa.feature.spectral_rolloff(x,sr=sr)))                \n        adım+=1\n        turler.append(tur) #Ozelliklerini çıkardığımız sesin etiketini ayrı bir listeye aynı sırada ekliyoruz.","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ozellikler=pd.DataFrame(np.array(liste),index=None)\nprint(ozellikler.shape)\na=[\"mfcc\"+str(i) for i in range(20)]\na.append(\"zero_crossing\")\na.append(\"spec_centroid\")\na.append(\"spec_rolloff\")\nozellikler.columns=a\nozellikler.head()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"turler=pd.DataFrame(turler,columns={\"turler\"},index=None)\nturler.turler.unique()","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.preprocessing import LabelEncoder\nle=LabelEncoder().fit(turler)\nturler_le=le.transform(turler)\nturler_le","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.model_selection import train_test_split\nX_train, X_test, y_train, y_test=train_test_split(ozellikler,turler_le, test_size=0.25,random_state=31)","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.ensemble import RandomForestClassifier\nrandom=RandomForestClassifier().fit(X_train,y_train)\nrandom\n","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"from sklearn.metrics import accuracy_score\ny_pred=random.predict(X_test)\naccuracy_score(y_test,y_pred)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"name":"python","version":"3.6.4","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat":4,"nbformat_minor":1}