Freaks City

Language identification systems distinguish between spoken languages using acoustic features extracted from speech signals. This implementation focuses on binary classification—Chinese versus English—using a hybrid feature vector combining Mel-frequency cepstral coefficients (MFCCs) and linear prediction coefficients (LPCs), followed by support ...

Library ImportsInitialize the necessary modules for data handling, dimensionality reduction, modeling, and visualization.import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split, GridSearchCV from sklearn.datasets import fetch_lfw_people from sklearn.metrics import classification_report from sklearn.svm import SVC fr ...