11/30/2022 0 Comments Robot voice![]() Raspberry pi 3 module acts as the brain of the robot, converts the signals into a set of programming language (python coding) recognized by robot. The signals are transmitted and received using RF module. Microcontroller Atmel 328 plays the major role in receiving samples as pulse width modulation(PWM). Voice commands is a set of instruction given to the computer through microphone. In this paper, speech is used to control a robot with voice commands. ![]() Velammal College of Engineering and Technology, Madurai, Tamil Nadu, IndiaĪbstractA method of communication which could be easily recognized is speech when it acts as an interface for processes it becomes an additional advantage in artificial intelligence. Evanjalin Prabha Department of ECE IV year Velammal College of engineering and technology, Madurai, Tamil Nadu, India ![]() Velammal College of Engineering and technology, Madurai, Omprakash Assistant professor Department of ECE These results suggest that while children engaged and learned with both robots, they engaged more deeply with the expressive robot than with the flat robot.Mr. In the follow-up, children from the Expressive condition retained the story better than children in the Flat condition. Second, in the Expressive condition, children who responded to the dialogic questions were also more likely to correctly identify more of the target vocabulary words, whereas this correlation did not emerge for children in the Flat condition.Ĭhildren in the Expressive condition emulated the robot’s story more in their story retells, using similar phrases as the robot, both during the initial session and during the follow-up. First, children showed more engagement in the Expressive condition. Nevertheless, the robot’s behavior still had an effect on children’s story processing. Children did not report any differences between the robot conditions (i.e., they did not dislike or devalue the flat robot vs. Overall, we saw that children learned from the robot, emulated the robot’s story during the story retelling, and treated the robot as a social being. We performed a verification study using Amazon Mechanical Turk to confirm that the Expressive robot was viewed as significantly more expressive, more emotional, and less passive than the Flat robot. The robot’s movement was kept constant across conditions. For the remaining children, the robot read and conversed with a flat voice, which sounded similar to a classic text-to-speech engine and had little dynamic range (Flat). A subset of children performed a second story retelling 4-6 weeks later.įor approximately half the children, the robot’s dialogic reading was expressive in the sense that the robot’s voice included a wide range of intonation and emotion (Expressive). ![]() Children were post-tested on the vocabulary words and were also asked to retell the story to a puppet. The robot narrated a story from a picture book, using dialogic reading techniques and including a set of target vocabulary words in the narration. We invited 45 preschoolers with an average age of 5 years who were either English Language Learners (ELL), bilingual, or native English speakers to engage in a dialogic reading task with a social robot. This project was funded by an NSF Cyberlearning grant. In particular, we looked at whether the verbal expressiveness of the robot impacted children’s learning and engagement during a dialogic reading activity. Given that past work has shown that children can and do learn new words from social robots, we investigate what factors modulate their learning. In this project, we asked whether a social robot can effectively engage preschoolers in dialogic reading. Social robots are new technologies that combine the adaptability, customizability, and scalability of technology with the embodied, situated world in which we operate. Prior research with preschool children has established that book reading, especially when children are encouraged to actively process the story materials through dialogic reading, is an effective method for expanding young children’s vocabulary.Ī growing body of research also suggests that social robots have potential as learning companions and tutors for young children’s early language education. ![]()
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