NDLI: An algorithm for locating fundamental frequency markers in speech signals

Content Provider	IEEE Xplore Digital Library
Author	Dikshit, P. Zahorian, S.A. Nagulapati, S.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Old Dominion Univ., Norfolk, VA, USA (Dikshit, P.; Zahorian, S.A.; Nagulapati, S.)
Abstract	The paper describes an algorithm for determining pitch period markers in a continuous speech signal using prior knowledge of pitch values. The algorithm uses dynamic programming to determine optimal markers from a set of probable markers. Local costs are assigned based on the amplitudes of local peaks, and transition costs are based on the closeness of peak spacings to the spacing predicted by the pitch period. In tests conducted with the Keele database, it was found that over 90% of pitch markers are within /spl plusmn/0.3 ms of reference marks in the laryngograph signal recorded with the Keele acoustic data, and over 96% of markers are within /spl plusmn/1 ms of reference markers. One of the features of this algorithm is tolerance to errors in the pitch track. The algorithm can tolerate errors in the pitch track of approximately -10% to +60%, with very little degradation in performance. It also generates 1% extraneous peaks.
Sponsorship	IEEE Signal Processing Soc
File Size	217552
File Format	PDF
ISBN	0780388747
ISSN	15206149
DOI	10.1109/ICASSP.2005.1415093
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-03-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency Signal processing algorithms Speech analysis Dynamic programming Signal processing Costs Speech synthesis Heuristic algorithms Algorithm design and analysis Acoustic testing
Content Type	Text
Resource Type	Article

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