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Vocal effort in human interactions with voice-AI


Bradshaw, Leah; Perepelytsia, Valeriia; Dellwo, Volker (2023). Vocal effort in human interactions with voice-AI. In: 20th International Congress of Phonetic Sciences (ICPhS), Prag, 7 August 2023 - 11 August 2023. International Phonetic Association, 803-807.

Abstract

Speech adaptations occur frequently in the presence of perceived communication barriers. Modern technological advancements have brought with them new interlocutors for human speakers with the introduction of voice-AI assistants. Findings have shown that voice-AI-directed speech is characterised by an increase in vocal effort resulting from the presumed capabilities of these systems for understanding speech. However, studies focus solely on voice-AI assistants which perform speech recognition. In this study, we present an acoustic analysis of speaker interactions with two voice-AI systems with different goals (speech interpretation vs. speaker verification). Using f0 mean and range as acoustic correlates of vocal effort, we found that speakers show some evidence of increased vocal effort towards voice-AI systems regardless of final task, however, this is enhanced by speech intelligibility goals. This finding is interpreted to suggest that voice-AI-directed speech globally exhibits increased vocal effort, but task plays a clear role in the extent of this.

Abstract

Speech adaptations occur frequently in the presence of perceived communication barriers. Modern technological advancements have brought with them new interlocutors for human speakers with the introduction of voice-AI assistants. Findings have shown that voice-AI-directed speech is characterised by an increase in vocal effort resulting from the presumed capabilities of these systems for understanding speech. However, studies focus solely on voice-AI assistants which perform speech recognition. In this study, we present an acoustic analysis of speaker interactions with two voice-AI systems with different goals (speech interpretation vs. speaker verification). Using f0 mean and range as acoustic correlates of vocal effort, we found that speakers show some evidence of increased vocal effort towards voice-AI systems regardless of final task, however, this is enhanced by speech intelligibility goals. This finding is interpreted to suggest that voice-AI-directed speech globally exhibits increased vocal effort, but task plays a clear role in the extent of this.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:11 August 2023
Deposited On:06 Feb 2024 13:03
Last Modified:02 Apr 2024 09:22
Publisher:International Phonetic Association
Series Name:Proceedings of the International Congress of Phonetic Sciences
ISSN:0301-3162
ISBN:978-80-908 114-2-3
OA Status:Green
Free access at:Official URL. An embargo period may apply.
Official URL:https://guarant.cz/icphs2023/834.pdf
Related URLs:https://www.icphs2023.org (Organisation)
Other Identification Number:834
  • Content: Published Version
  • Language: English