Elsevier

Speech Communication

Volume 5, Issues 3–4, December 1986, Pages 253-260
Speech Communication

Joint estimation of the LPC parameters and the multi-pulse excitation

https://doi.org/10.1016/0167-6393(86)90012-9Get rights and content

Abstract

In this paper, a joint process estimation algorithm is presented that simultaneously estimates the smooth spectral structure of the speech signal and the pulse-like driving function used in Multi-Pulse Linear Predictive Coding (MPLPC). Experimental results indicate that while the resulting excitation function differs from the normal multi-pulse excitation, the difference between the optimized and non-optimized linear predictive coding parameters is minimal in both a subjective and a numerical sense.

Zusammenfassung

Wir stellen in diesem Artikel einen Algorithmus vor welcher sowohl die spectrale Hüllkurve des Sprachsignals als auch die impulsähnliche Erregerfunktion (MPLPC) wie sie in der Linearen Prädiktiven Sprachkodierung mit Mehrfacherregung zur Anwendung kommt, alzuschätzen vermag. Die experimentellen Resultate zeigen, dass, obwohl die errechnete Erregerfunktion von der gewöhnlichen Mehrfachimpulserregung abweicht, die Unterschiede zwischen den optimalen und nicht optimalen Prädiktorkoeffizienten, sowohl in numerischer als auch in subjektiver Hinsicht gering sind.

Résumé

Nous présentons dans cet article un algorithme d'estimation combinée qui calcule simultanément le spectre lissé du signal de parole ainsi que l'excitation de forme impulsionelle utilisée dans le codage prédictif multipulse (MPLPC). Quoique la forme de l'excitation ainsi obtenue différe de l'excitation à impulsions multiples usuelle, les résultats expérimentaux indiquent que la différence entre les paramètres de codage prédictif optimisés et non optimisés et minimale tant du point de vue numérique que subjectif.

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Cited by (3)

  • Source combined linear predictive analysis in pulse-based speech coders

    1996, IEE Proceedings: Vision, Image and Signal Processing
  • Discrete All-Pole Modeling

    1991, IEEE Transactions on Signal Processing

This research was supported in full by the Advanced Switching Services Laboratory, AT&T Bell Laboratories, Naperville, Illinois.

This work was submitted in partial fulfillment of the re-quirements for the degree of Doctor of Philosophy in Electrical Engineering in the Graduate School of Illinois Institute of Technology, Chicago, Illinois.

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