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A plethora of approaches utilize statistical models of speech signals.
Implications of the results are discussed with reference to different models of speech production.
This method has shown capability to construct accurate models of speech, even for short segments.
These findings parallel previous results for early bilinguals, where the pattern of performance was consistent with the processing hierarchy proposed by different models of speech perception.
Models of speech production explain event-related suppression of the auditory cortical response as reflecting a comparison between auditory predictions and feedback.
In this paper, we have introduced the notion of context-dependent (CD) models for speech enhancement methods that use trained models of speech and noise parameters.
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Figure 2 LP model of speech production.
The basis of LP analysis is the source-filter production model of speech.
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).
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