Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Gender Identification in a Two-Level Hierarchical Speech Emotion Recognition System for an Italian Social Robot

Version 1 : Received: 6 December 2021 / Approved: 8 December 2021 / Online: 8 December 2021 (14:31:07 CET)

How to cite: Guerrieri, A.; Braccili, E.; Sgrò, F.; Meldolesi, G. Gender Identification in a Two-Level Hierarchical Speech Emotion Recognition System for an Italian Social Robot. Preprints 2021, 2021120134 (doi: 10.20944/preprints202112.0134.v1). Guerrieri, A.; Braccili, E.; Sgrò, F.; Meldolesi, G. Gender Identification in a Two-Level Hierarchical Speech Emotion Recognition System for an Italian Social Robot. Preprints 2021, 2021120134 (doi: 10.20944/preprints202112.0134.v1).

Abstract

The real challenge in Human Robot Interaction (HRI) is to build machines capable of perceiving human emotions so that robots can interact with humans in a proper manner. It is well known from the literature that emotion varies accordingly to many factors. Among these, gender represents one of the most influencing one, and so an appropriate gender-dependent emotion recognition system is recommended. In this paper, a two-level hierarchical Speech Emotion Recognition (SER) system is proposed: the first level is represented by the Gender Recognition (GR) module for the speaker’s gender identification; the second is a gender-specific SER block. Specifically for this work, the attention was focused on the optimisation of the first level of the proposed architecture. The system was designed to be installed on social robots for hospitalised and living at home elderly patients monitoring. Hence, the importance of reducing the software computational effort of the architecture also minimizing the hardware bulkiness, in order for the system to be suitable for social robots. The algorithm was executed on the Raspberry Pi hardware. For the training, the Italian emotional database EMOVO was used. Results show a GR accuracy value of 97.8%, comparable with the ones found in literature.

Keywords

Human Robot Interaction (HRI); social robot; Speech Emotion Recognition (SER); Gender Recognition, affective states

Subject

MATHEMATICS & COMPUTER SCIENCE, Artificial Intelligence & Robotics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.