Objective

For human-robot and human-system speech-based communication, various researches have been actively studied, including automatic speech recognition (ASR), natural language processing, dialog management, and speech synthesis, by focussing on communication and/or interaction.

For example, ASR is a key component for natural and smooth human-robot interaction, but there are many obstacles to overcome in the real world, such as noise, interruption, barge-in, latency, and so on. Many techniques based on emerging deep learning technology have been proposed in the speech processing community to address these well-known problems, they have not been technically discussed in the context of human-robot communication, and thus these techniques have limitations to apply them to real human-robot communication scenarios due to lack of robustness and technological unmatch with a target application. This situation tells us the necessity of technical discussion considering application-specific requirements. 

The goal of this workshop is to identify real-world challenges and explore their solutions for more practical human-robot and human-system speech-based communication by sharing real-world application-specific problems, which are actually faced by speakers and audience in this workshop.

 List of Topics

  The possible topics include, but are not limited to:

-   Robot audition

-   Noise reduction and speech enhancement techniques

-   Automatic speech recognition techniques

-   Spoken language understanding techniques

-   Dialog management system

-   Speech, synthesis, text generation techniques

-   Multi-modal processing techniques

-   Non-verbal communication techniques

-   Analysis, extraction and prediction of errors in human-robot communication

-   System optimization for human-robot communication

-   Software design for speech related human-robot communication

-   EDI research topics related to speech such as sign language recognition and generation

Important Dates

 -  Paper submission deadline :  July. 21, 2023 July. 31, 2023

 -  Acceptance Notification :  Aug. 11, 2023

 -  Camera Ready :  Aug. 18, 2023

 -  Workshop date :  Aug. 28, 2023