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Cepstrum

About: Cepstrum is a research topic. Over the lifetime, 3346 publications have been published within this topic receiving 55742 citations.


Papers
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Proceedings ArticleDOI
03 Oct 1996
TL;DR: The subjective performance test indicates that the quality of the proposed CELP coder is about 2 dB higher than that of the conventional one and the spectrum represented by mel-generalized cepstrum has frequency resolution similar to that of human ear.
Abstract: This paper presents a CELP speech coding system based on mel-generalized cepstral analysis. In the mel-generalized cepstral analysis, we can vary the model spectrum continuously from AR to cepstral modeling by changing the value of a parameter /spl gamma/ and we can choose an appropriate model spectrum. Furthermore, the spectrum represented by mel-generalized cepstrum has frequency resolution similar to that of human ear. Since the perceptual weighting and postfiltering are carried out through the mel-generalized cepstrum, we expect the perceptual performance of the proposed coder to be improved. The subjective performance test indicates that the quality of the proposed CELP coder is about 2 dB higher than that of the conventional one.

20 citations

PatentDOI
Mazin G. Rahim1, Jay G. Wilpon1
TL;DR: In this article, the authors proposed compensation for improving robustness of speech recognition in the presence of enhanced speech signals by combining linear predictive coding and mel-based cepstral parameter analysis.
Abstract: Speech recognition processing is compensated for improving robustness of speech recognition in the presence of enhanced speech signals. The compensation overcomes the adverse effects that speech signal enhancement may have on speech recognition performance, where speech signal enhancement causes acoustical mismatches between recognition models trained using unenhanced speech signals and feature data extracted from enhanced speech signals. Compensation is provided at the front end of an automatic speech recognition system by combining linear predictive coding and mel-based cepstral parameter analysis for computing cepstral features of transmitted speech signals used for speech recognition processing by selectively weighting mel-filter banks when processing frequency domain representations of the enhanced speech signals.

19 citations

Proceedings ArticleDOI
01 Nov 1990

19 citations

Proceedings ArticleDOI
R.A. Sukkar1
30 Mar 2007
TL;DR: It is shown that the similarity function can reliably detect acoustic echoes and correctly estimate the echo path delay, and can be used in the detection of double-talk conditions.
Abstract: In this paper we present a method for echo detection and echo path delay estimation using a pattern recognition approach. We consider the problem of echo detection as attempting to match a speech pattern in the near-end signal to the far-end signal at a given delay. Employing features and techniques that have been successfully used in speech recognition, we define a spectral similarity function based on cepstral correlation. We show, through experimental results, that the proposed similarity function can reliably detect acoustic echoes and correctly estimate the echo path delay. Further, it is shown that the similarity function can be used in the detection of double-talk conditions. The method presented here is applicable to both electrical (hybrid) network echoes as well as to acoustic echoes.

19 citations

Journal ArticleDOI
TL;DR: Three distinct types of UHS relaying realization in distance protection via advanced-generation digital signal processing, possible with cheap and readily available VLSI chips, are considered.
Abstract: UHS (ultra high speed) refers to operating times of less than 5 ms on 50 Hz power systems. Three distinct types of UHS relaying realization in distance protection via advanced-generation digital signal processing, possible with cheap and readily available VLSI chips, are considered. Type I is the correlator detector: Type II and III are the spectrum and cepstrum analyzers, respectively. The performance of these detectors is evaluated with respect to varying system configurations that complicate the post fault signals. Microprocessor implementation of these techniques show that 5 ms limit is achieved in Type I and II detectors, whereas the Type III detector can operate in 3 ms. >

19 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202386
2022206
202160
202096
2019135
2018130