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Energy separation in signal modulations with application to speech analysis
Open accessAbstract
An efficient solution to the fundamental problem of estimating the time-varying amplitude envelope and instantaneous frequency of a real-valued signal that has both an AM and FM structure is provided. Nonlinear combinations of instantaneous signal outputs from the energy operator are used to separate its output energy product into its AM and FM components. The theoretical analysis is done first for continuous-time signals. Then several efficient algorithms are developed and compared for estimating the amplitude envelope and instantaneous frequency of discrete-time AM-FM signals. These energy separation algorithms are used to search for modulations in speech resonances, which are modeled using AM-FM signals to account for time-varying amplitude envelopes and instantaneous frequencies. The experimental results provide evidence that bandpass-filtered speech signals around speech formants contain amplitude and frequency modulations within a pitch period.>
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Cites
Speech Analysis Synthesis and Perception
Flanagan, J. L. (1972) · doi:10.1007/978-3-662-01562-9 · Cited by 1,469
Cited by
Feng, Z., Liang, M., & Chu, F. (2013) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2013.01.017 · Cited by 998
Efficient nonlinear algorithm for envelope detection in white light interferometry
Larkin, K. G. (1996) · Journal of the Optical Society of America A · doi:10.1364/josaa.13.000832 · Cited by 417
Nonlinear feature based classification of speech under stress.
Zhou, G., Hansen, J. H. L., & Kaiser, J. F. (2001) · IEEE Transactions on Speech and Audio Processing · doi:10.1109/89.905995 · Cited by 409
Self-citationTran, V. T., AlThobiani, F., & Ball, A. (2014) · Expert Systems with Applications · doi:10.1016/j.eswa.2013.12.026 · Cited by 386
Some useful properties of Teager's energy operators
Kaiser, J. F. (1993) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp.1993.319457 · Cited by 346
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Metadata
- Authors
- Maragos, P., Kaiser, J. F., & Quatieri, T. F.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1993
- Volume
- 41
- Issue
- 10
- Pages
- 3024-3051
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2114537326
- Cited by
- 777
- References
- 1
- FWCI
- 21.14
- Type
- journal article
- Language
- en
- Open access
- green
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- Maragos, P., Kaiser, J. F., & Quatieri, T. F. (1993). Energy separation in signal modulations with application to speech analysis. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.277799
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