A Speech Processing Based System for Detection of Suspected User on GSM Network

With rapid development of mobile technology the criminal activity has also increased. Harassing, obscene or threatening phone calls are illegal and are punishable. Anyone can be the victim of such calls, however existing technology have limitation in terms of identification of mobile user when user will not use SIM card or destroy it after making calls. Anyone can be the victim of harassing, annoying, obscene, or threatening telephone calls. This paper proposed an idea for detection of such suspected user on GSM network with speech recognizer. Speech recognizer is placed on global system for mobile communication (GSM) network more specifically at gateway mobile switching center (GMSC). At GMSC, speech recognizer continuously scan for suspected users voice, once voice matches suspected user can be easily identify. Advantage of this method is that we do not need to wait for next call. Suspected user can be detecting during the call with someone else on same GSM network. Proposed system can be useful to find out the suspected users which are related with threatening or harassing phone calls.