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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...
The automatic recognition of sound events by computers is an important aspect of emerging applications such as automated surveillance, machine hearing and auditory scene understanding. Recent advances in machine learning, as well as in computational models of the human auditory system, have contributed to advances in this increasingly popular research field. Robust sound event classification, the...
This paper presents a novel method for deriving patterns for classification of speech sounds. In contrast to conventional methods that attempt to capture time-frequency patterns as represented by spectral envelopes or peaks, our method captures patterns of high-energy tracks, or seams, of maximum “whiteness” across frequency in spectrograms. Our hypothesis is that these seams could potentially carry...
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