Who Finds This Voice Attractive? A Large-Scale Experiment Using In-the-Wild Data Article Swipe

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Hitoshi Suda , Aya Watanabe , Shinnosuke Takamichi ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2407.04270

This paper introduces CocoNut-Humoresque, an open-source large-scale speech likability corpus that includes speech segments and their per-listener likability scores. Evaluating voice likability is essential to designing preferable voices for speech systems, such as dialogue or announcement systems. In this study, we let 885 listeners rate 1800 speech segments of a wide range of speakers regarding their likability. When constructing the corpus, we also collected the multiple speaker attributes: genders, ages, and favorite YouTube videos. Therefore, the corpus enables the large-scale statistical analysis of voice likability regarding both speaker and listener factors. This paper describes the construction methodology and preliminary data analysis to reveal the gender and age biases in voice likability. In addition, the relationship between the likability and two acoustic features, the fundamental frequencies and the x-vectors of given utterances, is also investigated.

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Scale (ratio) Business Chemistry Geography Cartography

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2407.04270
PDF: https://arxiv.org/pdf/2407.04270
OA Status: green
Related Works: 10
OpenAlex ID: https://openalex.org/W4400434635

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DOI: https://doi.org/10.48550/arxiv.2407.04270

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Title: Who Finds This Voice Attractive? A Large-Scale Experiment Using In-the-Wild Data

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Type: preprint

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Language: en

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Publication year: 2024

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Publication date: 2024-07-05

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Authors: Hitoshi Suda, Aya Watanabe, Shinnosuke Takamichi

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Landing page: https://arxiv.org/abs/2407.04270

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PDF URL: https://arxiv.org/pdf/2407.04270

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Open access: Yes

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OA URL: https://arxiv.org/pdf/2407.04270

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Concepts: Scale (ratio), Business, Chemistry, Geography, Cartography

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Related works (count): 10

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