New wavelet-based pitch detection method for human-robot voice interface

Tran, TH; Ha, QP; Dissanayake, G

New wavelet-based pitch detection method for human-robot voice interface

Tran, TH Ha, QP

Dissanayake, G

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Publication Type:: Conference Proceeding
Citation:: 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004, 1 pp. 527 - 532
Issue Date:: 2004-12-01

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Field	Value	Language
dc.contributor.author	Tran, TH	en_US
dc.contributor.author	Ha, QP https://orcid.org/0000-0003-0978-1758	en_US
dc.contributor.author	Dissanayake, G https://orcid.org/0000-0002-7992-0680	en_US
dc.date.issued	2004-12-01	en_US
dc.identifier.citation	2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2004, 1 pp. 527 - 532	en_US
dc.identifier.isbn	0780384636	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2590
dc.description.abstract	Speech activated interface between human and autonomous/semi-autonomous systems requires accurate voice detection and recognition. In this area pitch and end-point detection is of vital importance. This paper presents a new method for pitch detection based on the phase of the continuous wavelet transform. The advantage of the proposed technique is that it can serve not only as an accurate pitch detector, but also can offer an efficient solution to the end-point detection problem. Experimental results are provided for the detection of pitch periods and end points in a neural-network based voice enabled wheelchair system.	en_US
dc.relation.ispartof	2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)	en_US
dc.title	New wavelet-based pitch detection method for human-robot voice interface	en_US
dc.type	Conference Proceeding
utslib.citation.volume	1	en_US
utslib.for	0910 Manufacturing Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	Sendai, Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	1	en_US

Abstract:

Speech activated interface between human and autonomous/semi-autonomous systems requires accurate voice detection and recognition. In this area pitch and end-point detection is of vital importance. This paper presents a new method for pitch detection based on the phase of the continuous wavelet transform. The advantage of the proposed technique is that it can serve not only as an accurate pitch detector, but also can offer an efficient solution to the end-point detection problem. Experimental results are provided for the detection of pitch periods and end points in a neural-network based voice enabled wheelchair system.

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http://hdl.handle.net/10453/2590