Kristianus Oktriono

Determining the voiceprint recognition on the basis of emotional speech signal: Indonesia language

Automatic voiceprint recognition, posited on human speech signal, serves many salient practical applications. A number of studies are undertaken on the basis of normal speech. This research intends to develop automatic voiceprint recognition system on the basis of emotion speech signal in Indonesia language. The study is limited to four different people with speeches of four distinctive emotional conditions, i.e. happy, sad, angry, and fear. The 48 voiceprint features from emotion-related speeches data are extracted by applying Mel Frequency Cepstral Coefficient, speaker classification utilized these features. The categorization is also bolstered by Support Vector Machine method. The results suggested that the recognition managed to achieve about 92% of the level of accuracy.

The perception of cultural value towards college students: A case study in higher education

The study aims to measure Bina Nusantara University students? perception towards cultural value. Dimensions of gauged cultural value consisted of five indicators, namely power distance, uncertainty avoidance, individualism vs. collectivity, masculinity vs. femininity, and long-term orientation vs. short-term orientation. The study oriented to provide input for the organization upon the perception of students? cultural value. Cultural values are the guidelines of organized community life and influence human behavior toward the environment. This study was conducted on 95 students of Bina Nusantara University. The results indicated that students embraced an auspicious understanding of cultural values. Based on the research, it uncovered that students retained a quite high understanding of cultural values on the dimensions of individualism vs. collectivism and masculinity vs. femininity.