Estimating Stochasticity of Acoustic Signals

  • Sergei Aleinik
  • Oleg Kudashev
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8773)


In this paper, known methods for estimating the stochasticity of acoustic signals are compared, along with a new method based on adaptive signal filtration. Statistical simulation shows that the described method has better characteristics (lower variance and bias) than the other stochasticity measures. The parameters of the method, and their influence on performance, are investigated. Practical implementations for using the method are considered.


Stochasticity spectral entropy linear prediction event detection 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sergei Aleinik
    • 1
    • 2
  • Oleg Kudashev
    • 2
  1. 1.Speech Technology CenterSt. PetersburgRussia
  2. 2.ITMO UniversitySt. PetersburgRussia

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