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There are typically several challenges in the studying and modeling of speech signals in the multivariate distribution case, e.g., the non-linear or linear inter-dimensional dependency, and the sparsity and complexity of the multidimensional space.
One of the global research fields in this area is modelling of different aspects of speech activity.
Figure 2 LP model of speech production.
A plethora of approaches utilize statistical models of speech signals.
Implications of the results are discussed with reference to different models of speech production.
The basis of LP analysis is the source-filter production model of speech.
This method has shown capability to construct accurate models of speech, even for short segments.
In 1961, Wong proposed a linear model of speech production using a lossless tube model of the vocal tract [15].
In Section 2, the AM-FM model of speech is described, and the motivation of the proposed method is given.
The three-part model of speech IRE/IRF (Initiation^Response^Evaluation/Initiation^Response^Feedback), based on Sinclair and Coulthard (1975).
On the other hand, the autoregressive model of speech and the prior computation are well comparable in both disciplines.
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