A Time Warping Approach to Fundamental Period Estimation
- 1 May 1982
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Systems, Man, and Cybernetics
- Vol. 12 (3), 383-388
- https://doi.org/10.1109/tsmc.1982.4308828
Abstract
A time warping approach for estimating the fundamental period of a speech signal is described. The problem of estimating the period of a signal corrupted by background noise is formulated in terms of a minimum error function which defines a matching score between two signal segments and, depending on the error criterion, leads to well-known estimation schemes. To allow for the fact that the speech signal is only a quasi-periodic waveform with time-varying structure from period to period, a nonlinear time warping function is introduced. Using a dynamic programming technique, a computationally simple recursive algorithm is obtained which has the capability of tracking the time-varying period.Keywords
This publication has 9 references indexed in Scilit:
- Maximum likelihood pitch estimation using state-variable techniquesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Dynamic programming, the viterbi algorithm, and low cost speech recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Dynamic programming algorithm optimization for spoken word recognitionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
- Pseudo-maximum-likelihood speech pitch extractionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1977
- On the use of autocorrelation analysis for pitch detectionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1977
- Maximum likelihood pitch estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
- A comparative performance study of several pitch detection algorithmsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
- Average magnitude difference function pitch extractorIEEE Transactions on Acoustics, Speech, and Signal Processing, 1974
- The optimum comb method of pitch period analysis of continuous digitized speechIEEE Transactions on Acoustics, Speech, and Signal Processing, 1974