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Robotic Speech Synthesis: Perspectives on Interactions, Scenarios, and Ethics

arXiv 2203.09599 ↗First posted 17 Mar 2022cs.RO cs.CL cs.HCcited by 1

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Abstract (arXiv)

In recent years, many works have investigated the feasibility of conversational robots for performing specific tasks, such as healthcare and interview. Along with this development comes a practical issue: how should we synthesize robotic voices to meet the needs of different situations? In this paper, we discuss this issue from three perspectives: 1) the difficulties of synthesizing non-verbal and interaction-oriented speech signals, particularly backchannels; 2) the scenario classification for robotic voice synthesis; 3) the ethical issues regarding the design of robot voice for its emotion and identity. We present the findings of relevant literature and our prior work, trying to bring the attention of human-robot interaction researchers to design better conversational robots in the future.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 2 of its 37 references that are in the map. First posted on arXiv 17 Mar 2022.

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2 of 37 references.

References · 2

  1. 2017Emotional End-to-End Neural Speech Synthesizercited by 30
  2. 2019Exploring Transfer Learning for Low Resource Emotional TTScited by 21

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