Abstract:The study aims to present a method of evaluating speech quality in noise and interference conditions based on similarity matrices. For that purpose, sets of words recorded in the presence of disturbing signals along with their clean counterparts are used. First, it is checked to what extent a correct alignment of signals with and without the Lombard effect is important when self-similarity matrices are utilized in the process of feature discerning. Then, self-similarity matrices based on the acoustic parameter… Show more
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