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Traitement du Signal, 37(2), 307–317p. (2020) DOI:10.18280/ts.370217
Non-linear signal processing techniques know an extensively challenge use in the field of pathological voice diagnosis and assessment. This paper contributes the application of an important tool, Cross Recurrence Quantification Analysis (CRQA) for showing how it can be adapted to compare, assess and quantify the articulation changes of Vocal Folds (VFs) after a voice therapy. To achieve this aim, four types of pathological voice: VFs paralysis, VFs nodules, VFs polyps and spasmodic dysphonia have been considered in which the normal voice was considered as a reference. The glottal signal was firstly extracted using an inverse filtering algorithm, in the next step; the CRQA was performed on the Cross Recurrent Plot (CRP) structure of the glottal signal. Eight (08) CRQA measures were extracted to evaluate the improvement degree of voice quality after a voice therapy operation. By comparing these parameters variation before and after therapy to the normophonic voices, pathological voice stages were easily discriminated. For the test validation, a local collection database has been recorded in three different Algerian Ear-Nose-Throat services, where the long vowel [a:] was selected. A number of 60 pathological samples was achieved of the two genders adults male and female uttered in different stages before and after voice therapy. The obtained results shown the effectiveness of CRQA applied to the glottal signal. Indeed, it presented an effective tool to assess the improvement of voice quality after therapy.
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