On the asymptotic statistical behavior of empirical cepstral coefficients

On the asymptotic statistical behavior of empirical cepstral coefficients

The asymptotic covariance matrix of the empirical cepstrum is analyzed. We show that for Gaussian processes, cepstral coefficients derived from smoothed periodograms are asymptotically uncorrelated and their variances multiplied by the sample size T tend to unity. For an autoregressive process and its autoregressive cepstrum estimate, somewhat weaker results hold.

Evolutionary cepstral coefficients

Evolutionary algorithms provide flexibility and robustness required to find satisfactory solutions in complex search spaces. This is why they are successfully applied for solving real engineering problems. In this work we propose an algorithm to evolve a robust speech representation, using a dynamic data selection method for reducing the computational cost of the fitness computation while impro...

Learning Articulation from Cepstral Coefficients

We work on a special case of the speech inversion problem, namely the mapping from Mel Frequency Cepstral Coeeficients onto articulatory trajectories, derived by EMA. We employ Support Vector Regression, and use PCA and ICA as means to account for the spatial structure of the problem. Our results are comparable to those achieved by older attempts on the same task, indicating probably some natur...

Analysis on Mel Frequency Cepstral Coefficients and Linear Predictive Cepstral Coefficients as Feature Extraction on Automatic Accents Identification

Automatic Accents Identification is very important for discussion especially within scope of speaker recognition. Some contribution of appropriate techniques uses in Music Recognition and Accent Identification may contributes in improving the recognition rate. Techniques in discussing on music genre identification or accents automatic identification and the combination of both processes still i...

Speech production based on the mel-frequency cepstral coefficients