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Extending Discrete Verbal Commands with Continuous Speech for Flexible Robot Control

Published: 02 May 2019 Publication History

Abstract

Speech is a direct and intuitive method to control a robot. While natural speech can capture a rich variety of commands, verbal input is poorly suited to finer grained and real-time control of continuous actions such as short and precise motion commands. For these types of operations, continuous non-verbal speech is more suitable, but it lacks the naturalness and vocabulary breadth of verbal speech. In this work, we propose to combine the two types of vocal input by extending the last vowel of a verbal command to support real-time and smooth control of robot actions. We demonstrate the effectiveness of this novel hybrid speech input method in a beverage-pouring task, where users instruct a robot arm to pour specific quantities of liquid into a cup. A user evaluation reveals that hybrid speech improves on simple verbal-only commands.

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References

[1]
Jeff A Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amarnag Subramanya, Susumu Harada, James A Landay, Patricia Dowden, et al. 2005. The Vocal Joystick: A voice-based human-computer interface for individuals with motor impairments. In Proceedings of the conference on human language technology and empirical methods in natural language processing. Association for Computational Linguistics, 995--1002.
[2]
Masataka Goto, Katunobu Itou, and Satoru Hayamizu. 2002. Speech completion: On-demand completion assistance using filled pauses for speech input interfaces. In Seventh International Conference on Spoken Language Processing.
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Brandi House, Jonathan Malkin, and Jeff Bilmes. 2009. The VoiceBot: a voice controlled robot arm. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 183--192.
[4]
Takeo Igarashi and John F Hughes. 2001. Voice as sound: using non-verbal voice input for interactive control. In Proceedings of the 14th annual ACM symposium on User interface software and technology. ACM, 155--156.
[5]
Daniel Povey, Arnab Ghoshal, Gilles Boulianne, Lukas Burget, Ondrej Glembek, Nagendra Goel, Mirko Hannemann, Petr Motlicek, Yanmin Qian, Petr Schwarz, et al. 2011. The Kaldi speech recognition toolkit. In IEEE 2011 workshop on automatic speech recognition and understanding. IEEE Signal Processing Society.
[6]
Shizuka Takahashi and Ikuo Mizuuchi. 2017. Operating a robot by nonverbal voice based on ranges of formants. In 2017 3rd International Conference on Control, Automation and Robotics. IEEE, 202--205.

Cited By

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  • (2023)ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems2023 IEEE Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST57152.2023.00050(461-463)Online publication date: Apr-2023

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    cover image ACM Conferences
    CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
    May 2019
    3673 pages
    ISBN:9781450359719
    DOI:10.1145/3290607
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 02 May 2019

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    Author Tags

    1. continuous control
    2. human robot interaction
    3. voice inputs

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    • (2023)ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems2023 IEEE Conference on Software Testing, Verification and Validation (ICST)10.1109/ICST57152.2023.00050(461-463)Online publication date: Apr-2023

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