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In this paper a corrective solution for more accurate esophageal voice cycle marks detection is presented. While the algorithm developed in a previous work adapts the MDVP voice period marks to esophageal voice, it shows lacks when analyzing unsteady |a| vowel samples and with high levels of noise. The proposed solution is aimed to iteratively correct the parameters (nmin and threshold) used in the...
Electronics in Engineering Degrees has pedagogical resources as documentation that are not accessible to blind or visually disabled students because they can just have a text to speech conversion of the paragraphs but not a circuits schematics to speech conversion. This work presents a open source algorithm integrated in a tool compatible with OppenOffice who applies digital image processing and computer...
This paper deals with oesophageal speech enhancement using Kalman Filtering. Such an exceptionally special type of voice is due to the laryngectomy undergone by those persons with larynx cancer. Kalman filtering is known as an effective speech enhancement technique. In this context, several approaches have been developed in the past. One of the most important steps in the speech enhancement using...
This paper presents the study of vocal videostroboscopic videos to detect morphological pathologies using an active contour segmentation and objective measurements. The ad-hoc designed active contour algorithm permits to obtain a robust and fast segmentation using vocal folds images in RGB format. In this work, we have employed connected component analysis as a post-processing tool. After the segmentation...
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