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

arXiv: https://arxiv.org/abs/2203.09599 · HTML: https://mlsanity.com/paper/2203.09599/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 37 references that are in the map.
- First posted on arXiv 17 Mar 2022.

## Builds on (most cited first, 2 of 2)

- [Emotional End-to-End Neural Speech Synthesizer](https://mlsanity.com/paper/1711.05447/) (2017)
- [Exploring Transfer Learning for Low Resource Emotional TTS](https://mlsanity.com/paper/1901.04276/) (2019)

## Built on by (most cited first, 1 of 1)

- [Exploring Gender Bias in Alzheimer's Disease Detection: Insights from Mandarin and Greek Speech Perception](https://mlsanity.com/paper/2507.12356/) (2025)

## 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.