多模态人形机器人

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET) Pub Date : 2018-03-01 DOI:10.1109/WISPNET.2018.8538449

S. Thoshith, Samarth Mulgund, Praveen Sindgi, N. Yogesh, R. Kumaraswamy

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引用次数: 1

摘要

人机交互是指在特定环境中直接使用机器人系统与人类进行交互。本文研制了一种能够理解语音和手势指令的类人机器人。利用Kaldi工具包中的Mel频率倒谱系数和高斯混合模型，构建了一个独立于连词说话人的语音识别系统。手势识别是用卷积神经网络实现的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-Modal Humanoid Robot

Human-Robot Interaction deals with the direct use of robotic systems to interact with humans in particular context. In this paper, a humanoid is developed which can understand the commands in the form of speech and gesture. A connectedword speaker-independent speech recognition system is built using Mel Frequency Cepstral Coefficient and Gaussian Mixture Model in Kaldi toolkit. Gesture recognition is implemented using Convolutional Neural Network.

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来源期刊

2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)

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