Inferring Emotions from Human Voice

Research output: Contribution to ConferencePosterOther research output

Abstract

Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to provide natural interaction with humans. This work proposes to extend conversational agents’ benefits for social skills training by analysing the emotion conveyed by the user’s speech. For that, we developed a new system that captures emotions from the human voice and, combined with the context of a particular situation, uses this to influence the internal state of the agent and change its behaviour. An example of the system’s use is shown and its limitations and advantages are discussed, together with the internal workflow of the system.
Original languageEnglish
Publication statusPublished - 27 Oct 2016
EventBNAIC - Amsterdam, The Netherlands
Duration: 10 Nov 201610 Nov 2016

Lecture

LectureBNAIC
Period10/11/1610/11/16

Keywords

  • voice
  • emotion
  • Algorithms

Cite this

Formolo, D., & Bosse, T. (2016). Inferring Emotions from Human Voice. Poster session presented at BNAIC, .
Formolo, D. ; Bosse, T. / Inferring Emotions from Human Voice. Poster session presented at BNAIC, .
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title = "Inferring Emotions from Human Voice",
abstract = "Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to provide natural interaction with humans. This work proposes to extend conversational agents’ benefits for social skills training by analysing the emotion conveyed by the user’s speech. For that, we developed a new system that captures emotions from the human voice and, combined with the context of a particular situation, uses this to influence the internal state of the agent and change its behaviour. An example of the system’s use is shown and its limitations and advantages are discussed, together with the internal workflow of the system.",
keywords = "voice, emotion, Algorithms",
author = "D. Formolo and T. Bosse",
year = "2016",
month = "10",
day = "27",
language = "English",
note = "BNAIC ; Conference date: 10-11-2016 Through 10-11-2016",

}

Formolo, D & Bosse, T 2016, 'Inferring Emotions from Human Voice' BNAIC, 10/11/16 - 10/11/16, .

Inferring Emotions from Human Voice. / Formolo, D.; Bosse, T.

2016. Poster session presented at BNAIC, .

Research output: Contribution to ConferencePosterOther research output

TY - CONF

T1 - Inferring Emotions from Human Voice

AU - Formolo, D.

AU - Bosse, T.

PY - 2016/10/27

Y1 - 2016/10/27

N2 - Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to provide natural interaction with humans. This work proposes to extend conversational agents’ benefits for social skills training by analysing the emotion conveyed by the user’s speech. For that, we developed a new system that captures emotions from the human voice and, combined with the context of a particular situation, uses this to influence the internal state of the agent and change its behaviour. An example of the system’s use is shown and its limitations and advantages are discussed, together with the internal workflow of the system.

AB - Conversational agents are increasingly being used for training of social skills. One of their most important benefits is their ability to provide natural interaction with humans. This work proposes to extend conversational agents’ benefits for social skills training by analysing the emotion conveyed by the user’s speech. For that, we developed a new system that captures emotions from the human voice and, combined with the context of a particular situation, uses this to influence the internal state of the agent and change its behaviour. An example of the system’s use is shown and its limitations and advantages are discussed, together with the internal workflow of the system.

KW - voice

KW - emotion

KW - Algorithms

M3 - Poster

ER -

Formolo D, Bosse T. Inferring Emotions from Human Voice. 2016. Poster session presented at BNAIC, .