scholarly journals Optical laser microphone for human-robot interaction: speech recognition in extremely noisy service environments

2022 ◽  
pp. 1-14
Author(s):  
Takahiro Fukumori ◽  
Chengkai Cai ◽  
Yutao Zhang ◽  
Lotfi El Hafi ◽  
Yoshinobu Hagiwara ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Service Environments ◽  
Optical Laser

scholarly journals Environmental effects on reliability and accuracy of MFCC based voice recognition for industrial human-robot-interaction

2021 ◽  
pp. 095440542110144
Author(s):  
B Birch ◽  
CA Griffiths ◽  
A Morgan
Keyword(s):  
Speech Recognition ◽  
Voice Recognition ◽  
Human Robot Interaction ◽  
Hole Drilling ◽  
Time Warping ◽  
Mel Frequency Cepstral Coefficients ◽  
Robot Interaction ◽  
Extraction Algorithm ◽  
Dynamic Time ◽  
Manufacturing Environments

Collaborative robots are becoming increasingly important for advanced manufacturing processes. The purpose of this paper is to determine the capability of a novel Human-Robot-interface to be used for machine hole drilling. Using a developed voice activation system, environmental factors on speech recognition accuracy are considered. The research investigates the accuracy of a Mel Frequency Cepstral Coefficients-based feature extraction algorithm which uses Dynamic Time Warping to compare an utterance to a limited, user-dependent dictionary. The developed Speech Recognition method allows for Human-Robot-Interaction using a novel integration method between the voice recognition and robot. The system can be utilised in many manufacturing environments where robot motions can be coupled to voice inputs rather than using time consuming physical interfaces. However, there are limitations to uptake in industries where the volume of background machine noise is high.

scholarly journals Human-robot-interaction using cloud-based speech recognition systems

Procedia CIRP ◽  
2021 ◽  
Vol 97 ◽  
pp. 130-135
Author(s):  
Christian Deuerlein ◽  
Moritz Langer ◽  
Julian Seßner ◽  
Peter Heß ◽  
Jörg Franke
Keyword(s):  
Speech Recognition ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Recognition Systems

scholarly journals Child Speech Recognition in Human-Robot Interaction

2017 ◽  
Author(s):  
James Kennedy ◽  
Séverin Lemaignan ◽  
Caroline Montassier ◽  
Pauline Lavalade ◽  
Bahar Irfan ◽  
...  
Keyword(s):  
Speech Recognition ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Child Speech

scholarly journals Fusing Hand Postures and Speech Recognition for Tasks Performed by an Integrated Leg–Arm Hexapod Robot

2020 ◽  
Vol 10 (19) ◽  
pp. 6995
Author(s):  
Jing Qi ◽  
Xilun Ding ◽  
Weiwei Li ◽  
Zhonghua Han ◽  
Kun Xu
Keyword(s):  
Speech Recognition ◽  
Human Robot Interaction ◽  
Area Network ◽  
Hand Posture ◽  
Hexapod Robot ◽  
Wide Area Network ◽  
Robot Interaction ◽  
Localization And Mapping ◽  
And Control ◽  
Slot Structure

Hand postures and speech are convenient means of communication for humans and can be used in human–robot interaction. Based on structural and functional characteristics of our integrated leg-arm hexapod robot, to perform reconnaissance and rescue tasks in public security application, a method of linkage of movement and manipulation of robots is proposed based on the visual and auditory channels, and a system based on hand postures and speech recognition is described. The developed system contains: a speech module, hand posture module, fusion module, mechanical structure module, control module, path planning module and a 3D SLAM (Simultaneous Localization and Mapping) module. In this system, three modes, i.e., the hand posture mode, speech mode, and a combination of the hand posture and speech modes, are used in different situations. The hand posture mode is used for reconnaissance tasks, and the speech mode is used to query the path and control the movement and manipulation of the robot. The combination of the two modes can be used to avoid ambiguity during interaction. A semantic understanding-based task slot structure is developed by using the visual and auditory channels. In addition, a method of task planning based on answer-set programming is developed, and a system of network-based data interaction is designed to control movements of the robot using Chinese instructions remotely based on a wide area network. Experiments were carried out to verify the performance of the proposed system.

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