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Table 5 Objective speech quality comparison among various methods Methods PESQ MOS-LQO Maxn STD Max.
An extensive review of objective speech quality models and their applications can be found in [14].
This paper presents an objective speech quality model, ViSQOL, the Virtual Speech Quality Objective Listener.
The ITU-T P.862 is an intrusive objective speech quality assessment algorithm.
In this section, a brief overview of subjective and objective speech quality measurement methods is given.
Hu and Loizou [29] used the NOIZEUS database to evaluate seven objective speech quality measures.
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The objective of speech enhancement (SE, also called noise reduction) algorithms is to improve one or more perceptual aspects of the noisy speech by decreasing the background noise without affecting the intelligibility of the speech [1].
Spock's manner is equitable, calm, intellectual, and objective; his speech is formal and distinct from everyone else's on the Starship Enterprise.
Then, the objective of speech enhancement (or noise reduction) is to estimate x Q from y.
Therefore, there is a growing interest in the application of objective automatic speech recognition technology to automate the intelligibility assessment.
Then, the objective of speech enhancement (or noise reduction) is to estimate the desired signal sample, x k), from the observation vector, y(k).
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