Bilingual Language Identification Using Hybrid MFCC and Linear Prediction Features with SVM Classification
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 ...
Posted on Sun, 24 May 2026 18:39:23 +0000 by amavadia