• Journal of the Korean Institute of Telematics and Electronics
• /
• v.23 no.1
• /
• pp.101-113
• /
• 1986

In this paper, a real-time pitch detector LPC vocoder as implemented on a high speed digital signal processor, NEC 7720, is described. The pitch detector was based mainly on the SIFT algorithm. The SIFT pitch detector consists primarily of a digital low pass filter, inverse filter, computation of autocorrelation, a peak picker, interpolation, V/UV defcision and a final pitch smoother. In our approach, modification, mainly on the V/UV decision and a final pitch smoother, was made to estimate more accurate pitches. An 16-bit fixed-point aithmatic was employed for all necessary computation and the simulated results were compared with the eye detected pitches obtained from real speech data. The pitch detector occupies 98.8% of the instruction ROM, 37% of the data ROM, and 94% of internal RAM and takes 15.2ms to estimate a pitch when an analysis frame is consisted of 128 sampled speech data. It is observed that the tested results were well agreed with the computer simulation results.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.18 no.3
• /
• pp.429-436
• /
• 2008

Nowadays fires must be detected rapidly Abstract, and by connecting the detector's distribution, sender, transponder, receiver and others can be connected. Mechanical systems are implemented in today's buildings. However, this kind of constructing method has some disadvantages, that is, if fire happens somewhere, we cannot judge where the fires happen, and it is also difficult to judge what extent the fires reach. In order to overcome the disadvantages, in this paper, according to the tendency of combining the Ubiquitous and Intelligent Network, we propose a type of system by using the method of comparing the differences of the existed systems. The proposed system is designed to perceive the fires rapidly and confirm the fire place and fire scale correctly.