Adaptive pitch detection algorithm for noisy signals
- 13 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 576-579 vol.1
- https://doi.org/10.1109/icassp.1989.266492
Abstract
An algorithm is presented to determine the pitch of a signal in a very noisy environment adaptively and reliably. This algorithm is adaptive to input signal from frame to frame on both the correlative criterion and the energy criterion. The correlative criterion assumes that the input signal has a slowly time-varying property on adjacent frames. The energy criterion assumes that the input signal has some nonsignal frames to compute the statistics of noise energy. This algorithm has been useful in speech processing and speech coding. Implementation of this algorithm is simple and straightforward.<>Keywords
This publication has 7 references indexed in Scilit:
- Multiple User Variable Rate Coding for TASI and Packet Transmission SystemsIEEE Transactions on Communications, 1980
- A comparative performance study of several pitch detection algorithmsIEEE Transactions on Acoustics, Speech, and Signal Processing, 1976
- Pitch detection by data reductionIEEE Transactions on Acoustics, Speech, and Signal Processing, 1975
- Average magnitude difference function pitch extractorIEEE Transactions on Acoustics, Speech, and Signal Processing, 1974
- The SIFT algorithm for fundamental frequency estimationIEEE Transactions on Audio and Electroacoustics, 1972
- New methods of pitch extractionIEEE Transactions on Audio and Electroacoustics, 1968
- Cepstrum Pitch DeterminationThe Journal of the Acoustical Society of America, 1967