![]() ![]() A social robot capable of presenting a piece of information in more than one language at the same time to its audience is the goal of this line of study. The high cost of hiring human attendants fluent in several languages makes using social robots a more affordable alternative in international gatherings. As a result, the need for communicative agents fluent in several languages to assist those people is highlighted. With fast and reliable international transportation, more people with different language backgrounds can interact now. The implications of such a simultaneously speaking robot are discussed. However, this positive effect could not be attributed merely to the time expansion, as we could not repeat the same positive effect in a time-expanded single-talker speech.ĭiscussion: The results obtained in this study suggest a facilitating effect of the presence of the background speech in a simultaneously speaking bilingual robot provided that both languages are presented in a time-expanded manner. More interestingly, participants got a higher score in the time-expanded multi-talker speech than in the standard-speed single-talker speech in the speech comprehension and, in the sentence recognition task. Results: The obtained results suggest that a reduced speech rate, leading to an expansion in the speech time, in addition to increased pause duration in both the target and background speeches can lead to statistically significant improvement in both sentence recognition, and speech comprehension of participants. Sentence recognition, speech comprehension, and subjective evaluation tasks were implemented in the study. Methods: To improve speech comprehension and consequently, user experience in the intended bilingual robot, the effect of time expansion on speech comprehension in a multi-talker speech scenario was investigated. Hence, the presence of speech as the background noise in a simultaneously speaking bilingual robot can be fatal for the speech comprehension of each person listening to the robot. This deteriorating effect is more highlighted when the background noise has speech-like properties. However, the negative effect of background noise on speech comprehension is well-documented in previous works. Introduction: In this study, the development of a social robot, capable of giving speech simultaneously in more than one language was in mind. ![]()
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