Nurhasanah, Youllia Indrawaty and Barmawi, Mira Musrini and David, Andrian Hafiz (2016) APLIKASI PENDETEKSI EMOSI MANUSIA MENGGUNAKAN METODE MFCC DAN DTW. In: Seminar Nasional Teknologi Informasi 2016, -, Universitas Tarumanagara.

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Abstract

Classification of sound is one of the fields of Artificial Intelligent namely on the field of science Pattern Recognition, classification analysis based on the emotion was created in order for the computer to recognize the sound of angry, sad, happy, disgust and fear,by using voice as a voice recognition system or voice matching. This study that was made about the recognition of human emotions from the speaker by saying that depend on the text and the speaker, in the process of the recognition, Mel frequency cepstral Coefficients (MFCC) algorithm is being used. This technique is used to perform feature extraction process of the speech signal. While the process of matching the voice signal to be tested is using Dynamic Time wraping algorithm (DTW). Dynamic Mechanical Time wraping (DTW) is intended to make difference accommodations in time between the recording process when testing with the database that available on the reference signal. MFCC process will convert voice signals into several vectors which are useful for voice recognition process. Feature vector of the MFCC results will then be compared with the feature vector which are stored in the database using DTW.

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