基于ROS的机器人语音识别控制

R. K. Megalingam, Racharla Shriya Reddy, Y. Jahnavi, Manaswini Motheram
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引用次数: 12

摘要

基于语音的智能家居应用在过去几年中得到了快速增长。语音识别是系统接收、解释、分析和执行语音命令的能力。本文提出了一种基于ROS的语音控制机器人,该机器人采用差动驱动机构运行,并根据用户的语音命令移动轮式机器人。该系统基于隐马尔可夫模型(HMM)等统计模型。语音增强的HMM方法依赖于Viterbi算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROS Based Control of Robot Using Voice Recognition
Voice-based smart home applications have taken a rapid growth in the past few years. Voice recognition is the ability of the system to receive, interpret, analyze and carry out the spoken commands. This paper proposes a ROS based voice - controlled robot, which runs using a differential drive mechanism and takes the voice commands from the user and moves a wheeled robot accordingly. The system is based on a statistical model such as the Hidden Markov Model (HMM). The HMM approach to speech enhancement relies on the Viterbi Algorithm.
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