Pengenalan Rasa Lapar Melalui Suara Tangis Bayi Umur 0-9 Bulan Dengan Menggunakan Neural Network (Sub Judul : Penapisan Dengan Transformasi Wavelet Kontinyu)

Ariyadi, Rachmad and Purnomo, Mauridi Hery and Ramadijanti, Nana and Dewantara, Bima Sena Bayu (2010) Pengenalan Rasa Lapar Melalui Suara Tangis Bayi Umur 0-9 Bulan Dengan Menggunakan Neural Network (Sub Judul : Penapisan Dengan Transformasi Wavelet Kontinyu). eepis final project.

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Abstract

In final project to the infant�s crying recognition. The cries of recognition is crying because the baby�s hunger. In the search phase of the signal characteristics of the infants carried the front-middle-end to retrieve the information from the baby�s cries, filtering noise and Signal to Noise Ratio is used to determine the characteristics of the features generated from voice signal filtering process. Voice signal filtering using Continuous Wavelet Transform using Haar Wavelet as Mother Wavelet. Sound signal recognition phase is done by the Neural Network. The results obtained in the final project reaches 89,7%. Keywords : recognition of a baby crying from hunger, Continuous Wavelet Transform, Signal to Noise Ratio Neural Network

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