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A short-time objective intelligibility measure (STOI) is a method of obtaining intelligibility scores directly by analyzing the clean and processed signals [39].
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Interestingly, three systems obtained higher intelligibility scores than the original video, with the most intelligible system being an artificial 3D head a typical model-based system.
The first advantage is to obtain better intelligibility and modularity of designs.
Results show that these approaches reduce significantly the gain reduction and distortions, obtaining a similar intelligibility in comparison to the case where head information is available.
Although it can be expected that an SNR improvement in frequency regions important for speech recognition would result in higher speech recognition, the gains obtained in intelligibility-weighted SNR can only be related to the potential of this system to improve intelligibility.
Other methods pre-compensate the output speech by obtaining the optimal solution of the established mathematical model to improve intelligibility [21, 22].
Both parameters are used to adjust the preprocessing speech signal to obtain the best speech intelligibility.
Given the transcendental relation that, according to Heidegger, obtains between fields of intelligibility and science, the view on offer might still support a historically conditioned form of Kantian empirical realism with respect to science.
Therefore, slightly better performance in quality and intelligibility can be obtained than that with conventional algorithms.
For all adult speakers, speech intelligibility scores were obtained by analysing the recorded speech using the automated procedure in [29].
The objective parameters also confirmed that the proposed algorithm could obtain slightly better speech quality and intelligibility performance than the conventional techniques.
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