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Cited by 777

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Energy separation in signal modulations with application to speech analysis

Open access
Maragos, P., Kaiser, J.F., Quatieri, T.F.·1993·IEEE Transactions on Signal Processing

Abstract

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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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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CoChat. (2026). Citation check: Energy separation in signal modulations with application to speech analysis. https://app.cochat.ai/papers/10.1109/78.277799
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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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