Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?

Ryotaro Nagase; Takashi Sumiyoshi; Natsuo Yamashita; Kota Dohi; Yohei Kawaguchi

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arXiv · 2410.09636

Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?

Ryotaro Nagase·Takashi Sumiyoshi·Natsuo Yamashita·Kota Dohi·Yohei Kawaguchi

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Abstract

This paper proposes a zero-shot speech emotion recognition (SER) method that estimates emotions not previously defined in the SER model training. Conventional methods are limited to recognizing emotions defined by a single word. Moreover, we have the motivation to recognize unknown bipolar emotions such as ``I want to buy - I do not want to buy.'' In order to allow the model to define classes using sentences freely and to estimate unknown bipolar emotions, our proposed method expands upon the contrastive language-audio pre-training (CLAP) framework by introducing multi-class and multi-task settings. We also focus on purchase intention as a bipolar emotion and investigate the model's performance to zero-shot estimate it. This study is the first attempt to estimate purchase intention from speech directly. Experiments confirm that the results of zero-shot estimation by the proposed method are at the same level as those of the model trained by supervised learning.

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Ryotaro Nagase, Takashi Sumiyoshi, Natsuo Yamashita, Kota Dohi, Yohei Kawaguchi. 2024-10-12. Can We Estimate Purchase Intention Based on Zero-shot Speech Emotion Recognition?. https://arxiv.org/abs/2410.09636

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