Intentional Voice Command Detection for Trigger-Free Speech Interface
Summary :
In this paper we introduce a new framework of audio processing, which is essential to achieve a trigger-free speech interface for home appliances. If the speech interface works continually in real environments, it must extract occasional voice commands and reject everything else. It is extremely important to reduce the number of false alarms because the number of irrelevant inputs is much larger than the number of voice commands even for heavy users of appliances. The framework, called Intentional Voice Command Detection, is based on voice activity detection, but enhanced by various speech/audio processing techniques such as emotion recognition. The effectiveness of the proposed framework is evaluated using a newly-collected large-scale corpus. The advantages of combining various features were tested and confirmed, and the simple LDA-based classifier demonstrated acceptable performance. The effectiveness of various methods of user adaptation is also discussed.
- Publication
- IEICE TRANSACTIONS on Information Vol.E93-D No.9 pp.2440-2450
- Publication Date
- 2010/09/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1587/transinf.E93.D.2440
- Type of Manuscript
- Special Section PAPER (Special Section on Processing Natural Speech Variability for Improved Verbal Human-Computer Interaction)
- Category
- Robust Speech Recognition
Authors
Keyword
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Yasunari OBUCHI, Takashi SUMIYOSHI, "Intentional Voice Command Detection for Trigger-Free Speech Interface" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 9, pp. 2440-2450, September 2010, doi: 10.1587/transinf.E93.D.2440.
Abstract: In this paper we introduce a new framework of audio processing, which is essential to achieve a trigger-free speech interface for home appliances. If the speech interface works continually in real environments, it must extract occasional voice commands and reject everything else. It is extremely important to reduce the number of false alarms because the number of irrelevant inputs is much larger than the number of voice commands even for heavy users of appliances. The framework, called Intentional Voice Command Detection, is based on voice activity detection, but enhanced by various speech/audio processing techniques such as emotion recognition. The effectiveness of the proposed framework is evaluated using a newly-collected large-scale corpus. The advantages of combining various features were tested and confirmed, and the simple LDA-based classifier demonstrated acceptable performance. The effectiveness of various methods of user adaptation is also discussed.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.2440/_p
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@ARTICLE{e93-d_9_2440,
author={Yasunari OBUCHI, Takashi SUMIYOSHI, },
journal={IEICE TRANSACTIONS on Information},
title={Intentional Voice Command Detection for Trigger-Free Speech Interface},
year={2010},
volume={E93-D},
number={9},
pages={2440-2450},
abstract={In this paper we introduce a new framework of audio processing, which is essential to achieve a trigger-free speech interface for home appliances. If the speech interface works continually in real environments, it must extract occasional voice commands and reject everything else. It is extremely important to reduce the number of false alarms because the number of irrelevant inputs is much larger than the number of voice commands even for heavy users of appliances. The framework, called Intentional Voice Command Detection, is based on voice activity detection, but enhanced by various speech/audio processing techniques such as emotion recognition. The effectiveness of the proposed framework is evaluated using a newly-collected large-scale corpus. The advantages of combining various features were tested and confirmed, and the simple LDA-based classifier demonstrated acceptable performance. The effectiveness of various methods of user adaptation is also discussed.},
keywords={},
doi={10.1587/transinf.E93.D.2440},
ISSN={1745-1361},
month={September},}
Copy
TY - JOUR
TI - Intentional Voice Command Detection for Trigger-Free Speech Interface
T2 - IEICE TRANSACTIONS on Information
SP - 2440
EP - 2450
AU - Yasunari OBUCHI
AU - Takashi SUMIYOSHI
PY - 2010
DO - 10.1587/transinf.E93.D.2440
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 9
JA - IEICE TRANSACTIONS on Information
Y1 - September 2010
AB - In this paper we introduce a new framework of audio processing, which is essential to achieve a trigger-free speech interface for home appliances. If the speech interface works continually in real environments, it must extract occasional voice commands and reject everything else. It is extremely important to reduce the number of false alarms because the number of irrelevant inputs is much larger than the number of voice commands even for heavy users of appliances. The framework, called Intentional Voice Command Detection, is based on voice activity detection, but enhanced by various speech/audio processing techniques such as emotion recognition. The effectiveness of the proposed framework is evaluated using a newly-collected large-scale corpus. The advantages of combining various features were tested and confirmed, and the simple LDA-based classifier demonstrated acceptable performance. The effectiveness of various methods of user adaptation is also discussed.
ER -
English
