
@Article{2020.100000164,
AUTHOR = {Li-Hong Juang, Yi-Hua Zhao},
TITLE = {Intelligent Speech Communication Using Double Humanoid Robots},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {2},
PAGES = {291--301},
URL = {http://www.techscience.com/iasc/v26n2/39950},
ISSN = {2326-005X},
ABSTRACT = {Speech recognition is one of the most convenient forms of human beings 
engaging in the exchanging of information. In this research, we want to make 
robots understand human language and communicate with each other through 
the human language, and to realize man–machine interactive and humanoid–
robot interactive. Therefore, this research mainly studies NAO robots’ speech 
recognition and humanoid communication between double -humanoid robots. 
This paper introduces the future direction and application prospect of speech 
recognition as well as its basic method and knowledge of speech recognition 
fields. This research also proposes the application of the most advanced 
method—establishment of the Hidden Markov Model (HMM) for the continuous 
word recognition in the speech recognition of NAO robots. In addition, this 
paper focuses on the establishment of a modelling algorithm and the extraction 
method of speech characteristics and the existing problems. Meanwhile, this 
research demonstrates the experiments of the NAO robot structured function 
and the voice interactive of double-humanoid robots. Through the use of an 
NAO-robot-controlled platform, Choregraphe software, and combined calling of 
Baidu speech recognition, the communication between double-humanoid robots 
has been achieved. Besides, a series of programming designs have realized the 
interactive functions such as NAO robots’ daily dialogue and communication, 
arithmetic function (addition, subtraction, multiplication, and division), singing, 
making movement, and rhetorical-pattern dialogues. Finally, it shows the 
significance and contribution of research of interaction between double -
humanoid robots.},
DOI = {10.31209/2020.100000164}
}



