首页|New Findings from Tianjin University Update Understanding of Robotics (Voicemap: Autonomous Mapping of Microphone Array for Voice Localization)
New Findings from Tianjin University Update Understanding of Robotics (Voicemap: Autonomous Mapping of Microphone Array for Voice Localization)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics. According to news reporting originating in Tianjin, People's Republic of China, by NewsRx journalists, research stated, "Voice command systems have been widely deployed on many smart devices for remote control. To further enrich the intelligence of these smart devices, the location of sound plays an important r ole in context-aware acoustic services." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from Tianjin University, " Despite initial steps made toward reliable voice localization, the state-of-the- arts rely on prior knowledge of device location, device orientation and an indoo r electronic map. To mitigate this additional cost, this article presents VoiceM ap, an autonomous mapping system of acoustic devices for voice localization. The insight behind VoiceMap is to explore the cooperation of sweeping robots and vo ice devices. Specifically, the sweeping robot is responsible for exploring the e lectronic map of the environment, while the microphone array is responsible for localizing the sweeping robot, so that we can establish the positional relations hip between them. The core challenges are how to accurately locate the continuou sly moving robot, and how to synchronize the coordinate systems of the sweeping robot and the voice devices. To this end, we first design an inertial-based supe r-resolution method to estimate the angle of arrival (AoA) with respect to the r obot. Then, we develop an effective coordinate synchronization mechanism, so tha t VoiceMap can automatically locate the voice devices on the electronic map gene rated by the robot. Finally, we implement a prototype system using commercial de vices, and conduct comprehensive experiments to verify the proposed system."
TianjinPeople's Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsTianjin University
NETL
NSTL
