Different language recognition model

Language is the ability to know any complex era in a real world application. Approximate number of languages are 6700. Different regions in a world have different languages spoken. When a human meets another human, speaking different language, it is difficult to identify the one what next person is talking about or in which language. Hence, the main focus is recognition of language which is spoken by a person. For this the database of different languages is recorded. Pc as a hardware with Matlab software is used to extract features of sentence spoken so as to recognize a language. Input is given by mike with 8000 samples. To obtain required features from the speech sample, features are extracted using Mel Frequency Cepstral Coefficient (MFCC) and Multi-class SVM is adopted for classification.