Titlebook: Advances in Robotics, Automation and Data Analytics; Selected Papers from Jessnor Arif Mat Jizat,Ismail Mohd Khairuddin,Gian Conference pro

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Multilanguage Speech-Based Gender Classification Using Time-Frequency Features and SVM Classifier,hines (SVM) algorithm. SVM is trained on two speech databases Berlin Emo-DB and IITKGP-SEHSC, in which a total of 400?speech samples are evaluated. An accuracy of 83% and 81% for IITKGP-SEHSC and Berlin Emo-DB have been observed, respectively.

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Smart Calling Doorbell Using GSM Module,wner through SMS by sending the SMS first to the GSM module. In the situation where the owner is not at home, he/she can leave a message and the message will be displayed on the LCD. The visitor will be acknowledged on the owner’s availability by reading the SMS on the LCD. Since most of the answeri

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