M. Karbasi

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This paper presents a novel feature extraction method for environmental sounds classification. Although many kinds of audio features have been investigated for environmental sound classification tasks, most of them have been extracted only to model the speech signal structure, which explains their lower performance when dealing with other kinds of audio(More)
conceptualization and 4 = active experimentation. Summation of scores of each model in 12 questions will result in 4 scores, which indicate the 4 learning styles. After that, we subtracted concrete experience scores from abstract conceptualization scores and reflective observation scores from active experimentation scores. In the end, results gave us two(More)
This study investigated the effect of saffron nano-sizing on its the colour extraction yield. The whole stigma was ball-milled at three different times (10, 20 and 100 h), immediately or with a 24 h delay was submitted to absorption test, and then the colour extraction efficiency was determined. When stigma was milled for 100 h, its particle size was(More)
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