Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Sound source tracking is an important function for a robot operating in a daily environment, because the robot should recognize where a sound event such as speech, music and other environmental sounds originates from.  addresses sound source tracking by integrating a room and a robot microphone array. The room microphone array consists of 64 microphones attached to the walls. It provides 2D (x-y) sound source localization based on a ighted delay-and-sum beamforming method. The robot microphone array consists of eight microphones installed on a robot head, and localizes multiple sound sources in azimuth. The localization results are integrated to track sound sources by using a particle filter for multiple sound sources. The experimental results show that particle filter based integration reduces localization errors and provides accurate and robust 2D sound source tracking.
['Kazuhiro Nakadai', 'Hirofumi Nakajima', 'Masamitsu Murase', 'Satoshi Kaijiri', 'Kentaro Yamada', 'Takahiro Nakamura', 'Yuji Hasegawa', 'Hiroshi G. Okuno', 'Hiroshi Tsujino']
I am writing a research paper on a idea Robust Tracking of Multiple Sound Sources by Spatial Integration of Room And Robot Microphone Arrays
[{"from": "human", "value": "I am writing a research paper on a idea Robust Tracking of Multiple Sound Sources by Spatial Integration of Room And Robot Microphone Arrays"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Sound source tracking is an important function for a robot operating in a daily environment, because the robot should recognize where a sound event such as speech, music and other environmental sounds originates from.  addresses sound source tracking by integrating a room and a robot microphone array. The room microphone array consists of 64 microphones attached to the walls. It provides 2D (x-y) sound source localization based on a ighted delay-and-sum beamforming method. The robot microphone array consists of eight microphones installed on a robot head, and localizes multiple sound sources in azimuth. The localization results are integrated to track sound sources by using a particle filter for multiple sound sources. The experimental results show that particle filter based integration reduces localization errors and provides accurate and robust 2D sound source tracking."}]