A novel approach of system design for dialect speech interaction with NAO robot

Ming Chen; Lujia Wang; Cheng Zhong Xu; Renfa Li

doi:10.1109/ICAR.2017.8023652

A novel approach of system design for dialect speech interaction with NAO robot

Ming Chen, Lujia Wang, Cheng Zhong Xu, Renfa Li

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

6 Citations (Scopus)

Abstract

Intelligent human robot interaction are becoming popular in both industry and academia. However, amongst current techniques, speech recognition is a challenging topic, including real-time translation with high accuracy, amicability and the support for recognizing minor languages or sophisticated dialects. In this paper, we propose a human-friendly prototype deployed on NAO robots in a real-life scenario through daily speech commands and NAO would act accordingly. We primarily adopt HMM-GMM, the combination of HMMs (Hidden Markov Models) and GMMs (Gaussian Mixtures Models). The experimental results show that the proposed prototype achieves high accuracy and well-received by experiment subjects.

Original language	English
Title of host publication	2017 18th International Conference on Advanced Robotics, ICAR 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	476-481
Number of pages	6
ISBN (Electronic)	9781538631577
DOIs	https://doi.org/10.1109/ICAR.2017.8023652
Publication status	Published - 30 Aug 2017
Externally published	Yes
Event	18th International Conference on Advanced Robotics, ICAR 2017 - Hong Kong, China Duration: 10 Jul 2017 → 12 Jul 2017

Publication series

Name	2017 18th International Conference on Advanced Robotics, ICAR 2017

Conference

Conference	18th International Conference on Advanced Robotics, ICAR 2017
Country/Territory	China
City	Hong Kong
Period	10/07/17 → 12/07/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

Behavior design
HMM-GMM
NAO robot
Speech feature extraction
Speech interaction

Access to Document

10.1109/ICAR.2017.8023652

Cite this

Chen, M., Wang, L., Xu, C. Z., & Li, R. (2017). A novel approach of system design for dialect speech interaction with NAO robot. In 2017 18th International Conference on Advanced Robotics, ICAR 2017 (pp. 476-481). Article 8023652 (2017 18th International Conference on Advanced Robotics, ICAR 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAR.2017.8023652

@inproceedings{d843775c05254b0fa0f26e7e0b364799,

title = "A novel approach of system design for dialect speech interaction with NAO robot",

abstract = "Intelligent human robot interaction are becoming popular in both industry and academia. However, amongst current techniques, speech recognition is a challenging topic, including real-time translation with high accuracy, amicability and the support for recognizing minor languages or sophisticated dialects. In this paper, we propose a human-friendly prototype deployed on NAO robots in a real-life scenario through daily speech commands and NAO would act accordingly. We primarily adopt HMM-GMM, the combination of HMMs (Hidden Markov Models) and GMMs (Gaussian Mixtures Models). The experimental results show that the proposed prototype achieves high accuracy and well-received by experiment subjects.",

keywords = "Behavior design, HMM-GMM, NAO robot, Speech feature extraction, Speech interaction",

author = "Ming Chen and Lujia Wang and Xu, \{Cheng Zhong\} and Renfa Li",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 18th International Conference on Advanced Robotics, ICAR 2017 ; Conference date: 10-07-2017 Through 12-07-2017",

year = "2017",

month = aug,

day = "30",

doi = "10.1109/ICAR.2017.8023652",

language = "English",

series = "2017 18th International Conference on Advanced Robotics, ICAR 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "476--481",

booktitle = "2017 18th International Conference on Advanced Robotics, ICAR 2017",

}

Chen, M, Wang, L, Xu, CZ & Li, R 2017, A novel approach of system design for dialect speech interaction with NAO robot. in 2017 18th International Conference on Advanced Robotics, ICAR 2017., 8023652, 2017 18th International Conference on Advanced Robotics, ICAR 2017, Institute of Electrical and Electronics Engineers Inc., pp. 476-481, 18th International Conference on Advanced Robotics, ICAR 2017, Hong Kong, China, 10/07/17. https://doi.org/10.1109/ICAR.2017.8023652

A novel approach of system design for dialect speech interaction with NAO robot. / Chen, Ming; Wang, Lujia; Xu, Cheng Zhong et al.
2017 18th International Conference on Advanced Robotics, ICAR 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 476-481 8023652 (2017 18th International Conference on Advanced Robotics, ICAR 2017).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AU - Chen, Ming

AU - Wang, Lujia

AU - Xu, Cheng Zhong

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Y1 - 2017/8/30

N2 - Intelligent human robot interaction are becoming popular in both industry and academia. However, amongst current techniques, speech recognition is a challenging topic, including real-time translation with high accuracy, amicability and the support for recognizing minor languages or sophisticated dialects. In this paper, we propose a human-friendly prototype deployed on NAO robots in a real-life scenario through daily speech commands and NAO would act accordingly. We primarily adopt HMM-GMM, the combination of HMMs (Hidden Markov Models) and GMMs (Gaussian Mixtures Models). The experimental results show that the proposed prototype achieves high accuracy and well-received by experiment subjects.

AB - Intelligent human robot interaction are becoming popular in both industry and academia. However, amongst current techniques, speech recognition is a challenging topic, including real-time translation with high accuracy, amicability and the support for recognizing minor languages or sophisticated dialects. In this paper, we propose a human-friendly prototype deployed on NAO robots in a real-life scenario through daily speech commands and NAO would act accordingly. We primarily adopt HMM-GMM, the combination of HMMs (Hidden Markov Models) and GMMs (Gaussian Mixtures Models). The experimental results show that the proposed prototype achieves high accuracy and well-received by experiment subjects.

KW - Behavior design

KW - HMM-GMM

KW - NAO robot

KW - Speech feature extraction

KW - Speech interaction

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DO - 10.1109/ICAR.2017.8023652

M3 - Conference Paper published in a book

AN - SCOPUS:85031707888

T3 - 2017 18th International Conference on Advanced Robotics, ICAR 2017

SP - 476

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BT - 2017 18th International Conference on Advanced Robotics, ICAR 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 18th International Conference on Advanced Robotics, ICAR 2017

Y2 - 10 July 2017 through 12 July 2017

ER -

A novel approach of system design for dialect speech interaction with NAO robot

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Keywords

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