Automatic Control Music Amplifier Using Speech Signal Utilizing by TMS320C6713

In a radio station when the announcer wants to Broadcast an urgent message to the listeners, the announcer must set manually the volume of background music while it has been playing. This process has disadvantages such as the volume of background music being either too loud or too weak. This effect can be minimized by adjusting music volume automatically using human speech signals. In this research TMS320C6713 DSP Starter Kit (DSK) as a signal processor is used. The incoming human speech signal will be detected by using voice activity detection (VAD) which consists of Short Term Energy and Zero Crossing Rate, the process is to identify the characteristics of the human speech signals. If the input signal is the human speech signal it will affect to decreasing volume of background music and will be maintained at a certain minimum level during speech. By using an energy threshold value of 60 dB and ZCR values between 20 and 45 times the system can recognize the input signal and the signal is human speech signals. Furthermore, voice signals can be used to adjust the volume of the background music as a given gain parameter.