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Record STMT-W2EB2B8Advisory

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

Position paper Institutional policyGlobalunknown

This academic paper examines the challenges, scenarios, and ethical considerations surrounding robotic speech synthesis in human-robot interactions. It highlights the technical difficulties of generating interaction-oriented speech such as backchannels, proposes a scenario classification framework for robot voice design, and discusses potential ethical issues including language, identity, gender, and aesthetic biases.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

University of EdinburghAcademic
Lead issuer
Legal forceAdvisory
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

Researchers and academicsGeneral publicAI developers and providers

Researchers and developers working in human-robot interaction and speech technology should read this to understand design challenges and ethical considerations.

Sectors
Research and science · Human-Robot InteractionTelecommunications and digital services · Speech Synthesis

What the document contains

What's covered

The document covers technical aspects of robotic speech synthesis including prosody and backchannel generation, a classification of usage scenarios for robot voices, and associated ethical and social issues such as language, identity, gender, and aesthetic biases.

What's missing

The document does not provide binding regulatory requirements, legal standards, or formal enforcement mechanisms for robotic speech design.

Key takeaways
  • Prosody plays a dominant role in conveying emotions and shaping robot identity in speech synthesis.
  • Synthesizing interactional aspects of speech, such as backchannels with correct timing and prosody, remains technically challenging.
  • Robot voices can be classified into general, application-dependent, and culture-dependent scenarios, each requiring tailored design approaches.
  • The association of specific voices with professional roles or demographic traits raises ethical concerns regarding identity and gender bias.
  • Language bias in automatic speech recognition and synthesis disproportionately affects minority languages and non-standard dialects.
Outline
· 1 Introduction
· 2 Interactional Speech Synthesis
  - 2.1 Prosody Settings for Emotion and Identity
  - 2.2 Backchannels
  - 2.3 Open Challenges
· 3 Scenario Classification
  - 3.1 General Scenario
  - 3.2 Application-Dependent Scenario
  - 3.3 Culture-Dependent Scenario
  - 3.4 Open Challenges
· 4 Ethical and Social Issues
  - 4.1 Language Bias
  - 4.2 Identity Bias
  - 4.3 Gender Bias
  - 4.4 Aesthetic Bias
· 5 Conclusion
Issued17 March 2022
Length4,226 words · 4 pages
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

N/A

screening score · 2026-10-23

Fairness

2/5

Non-discrimination and equitable treatment

If these settings are widely used, will they in turn affect career choices in human society?

4.2 Identity Bias

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

N/A

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

N/A

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

N/A

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

N/A

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

N/A

screening score · 2026-10-23

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

N/A

screening score · 2026-10-23

Topics

speech_synthesis ai_ethics human_robot_interaction robot_identity emotion