| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === The thesis describes an implementation of human face tracking, sound source direction estimation and speech purification on a dual-core platform. The system can perform real-time tracking of human face, estimating the sound source direction and enhance the speech in that direction while depress the noise in other directions. The development platform is TI DM6446 EVM which is an embedded dual-core system. DSP core is responsible for algorithm realization. ARM core is responsible to control the system peripherals. The image is captured by a PTZ camera and the sound data is acquired by digital microphone array signal acquisition system to get multi-channels sound data. The system software integrates Voice Activity Detection Algorithm (VAD), Multiple Signals Classification Method (MUSIC), Adaptive Beamformer and Mean-Shift Object Tracking Algorithm. Using the technique, we can build a human-robot interface with vision and hearing. This system can apply to video conference, home guarding and robot etc.
|
|---|
