Abstract
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.
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Aleinik, S., Kudashev, O. (2014). Estimating Stochasticity of Acoustic Signals. In: Ronzhin, A., Potapova, R., Delic, V. (eds) Speech and Computer. SPECOM 2014. Lecture Notes in Computer Science(), vol 8773. Springer, Cham. https://doi.org/10.1007/978-3-319-11581-8_24
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DOI: https://doi.org/10.1007/978-3-319-11581-8_24
Publisher Name: Springer, Cham
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