Topic
Cepstrum
About: Cepstrum is a research topic. Over the lifetime, 3346 publications have been published within this topic receiving 55742 citations.
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Papers
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TL;DR: In this paper, an approach called the exit wave power cepstrum (EWPC) is proposed to transform nanobeam electron diffraction (NBED) patterns into real-space patterns with sharp peaks corresponding to interatomic spacings.
41 citations
Proceedings Article•
01 Jan 1999TL;DR: The proposed high-level approach to spectral envelope handling is followed in software developed at IRCAM, which makes some important applications of spectral envelopes in the domain of additive analysis–synthesis possible.
Abstract: Spectral envelopes are very useful in sound analysis and synthesis because of their connection with production and perception models, and their ability to capture and to manipulate important properties of sound using easily understandable “musical” parameters. It is not easy, however, to estimate and represent them well, as several requirements must be fulfilled. We discuss the strengths and weaknesses of the estimation methods LPC, cepstrum, and discrete cepstrum, and evaluate the representations filter coefficients, sampled, break-point functions, splines, and formants. The proposed high-level approach to spectral envelope handling is followed in software developed at IRCAM, which makes some important applications of spectral envelopes in the domain of additive analysis–synthesis possible.
40 citations
Patent•
20 Jun 2012
TL;DR: In this paper, a method and a system for voiceprint recognition based on vector quantization is described. But the method requires few modeling data, and is low in complexity and high recognition performance.
Abstract: The invention discloses a method and a system for voiceprint recognition based on vector quantization, which have high recognition performance and noise immunity, are effective in recognition, require few modeling data, and are quick in judgment speed and low in complexity. The method includes steps: acquiring audio signals; preprocessing the audio signals; extracting audio signal characteristic parameters by using MFCC (mel-frequency cepstrum coefficient) parameters, wherein the order of the MFCC ranges from 12 to 16; template training, namely using the LBG (linde, buzo and gray) clustering algorithm to set up a codebook for each speaker and store the codebooks in an audio data base to be used as the audio templates of the speakers; voiceprint recognizing, namely comparing acquired characteristic parameters of the audio signals to be recognized with the speaker audio templates set up in the audio data base and judging according to weighting Euclidean distance measure, and if the corresponding speaker template enables the audio characteristic vector X of a speaker to be recognized to have the minimum average distance measure, the speaker is supposed to be recognized.
40 citations
TL;DR: It is shown that for Gaussian processes, ceptral coefficients derived from smoothed periodograms are asymptotically uncorrelated and their variances multiplied by the sample size tend to unity.
Abstract: The asymptotic covariance matrix of the empirical cepstrum is analyzed. It is shown that for Gaussian processes, ceptral coefficients derived from smoothed periodograms are asymptotically uncorrelated and their variances multiplied by the sample size tend to unity. For an autoregressive process and its autoregressive cepstrum estimate, somewhat weaker results hold. >
40 citations
Patent•
15 Oct 1986
TL;DR: In this article, a speech analysis apparatus consisting of a transforming section for receiving a spectrum envelope, an integrator for receiving the transformed spectrum envelope output from the transforming section, and a projection circuit for projecting the spectrum envelope with respect to the integrated data.
Abstract: A speech analysis apparatus according to the invention, comprising a transforming section for receiving a spectrum envelope, for transforming the spectrum envelope such magnitude data thereof becomes suitable, and for generating a transformed spectrum envelope, an integrator for receiving the transformed spectrum envelope output from the transforming section, for integrating the input spectrum envelope with respect to a predetermined variable, and for outputting an integrated spectrum envelope, and a projection circuit for receiving the transformed spectrum envelope from the transform circuit and the integrated spectrum envelope from the integrator, and for projecting the spectrum envelope with respect to the integrated data. Therefore, the analysis result inherent to the phoneme can be obtained regardless of vocal tract lengths. The spectrum envelope to be projected can be integrated by the integrator, along the frequency axis or the mel axis. The analysis apparatus further includes a spectrum envelope-extractor for obtaining the spectrum envelope, by using cepstrum analysis and smoothing the resultant spectrum envelope. A spectrum envelope in the transition from a consonant to a vowel can be obtained.
40 citations