Research Output
Non-linear predictive models for speech processing
  This paper aims to provide an overview of the emerging area of non-linear predictive modelling for speech processing. Traditional predictors are linear based models related to the speech production model. However, non-linear phenomena involved in the production process justify the use of non-linear models. This paper investigates certain statistical and signal processing perspectives and reviews a number of non-linear models including their structure and key parameters (such as prediction context).

  • Date:

    31 December 2005

  • Publication Status:

    Published

  • DOI:

    10.1007/11550907_123

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Chetouani, M., Hussain, A., Faundez-Zanuy, M., & Gas, B. (2005). Non-linear predictive models for speech processing. In Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005 15th International Conference, Warsaw, Poland, September 11-15, 2005. Proceedings, Part II, (779-784). https://doi.org/10.1007/11550907_123

Authors

Keywords

Speech Signal; Vocal Tract; Speech Sample; Speech Production Model; Linear Predictive Code

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