{"id":1824,"date":"2016-06-02T13:10:44","date_gmt":"2016-06-02T11:10:44","guid":{"rendered":"http:\/\/aholab.ehu.eus\/aholab\/?p=1824"},"modified":"2021-07-12T18:36:14","modified_gmt":"2021-07-12T16:36:14","slug":"modeling-and-detection-of-vibrato-in-bertsolaritza-basque-singing-style-using-adaptive-sinusoidal-models","status":"publish","type":"post","link":"https:\/\/aholab.ehu.eus\/aholab\/modeling-and-detection-of-vibrato-in-bertsolaritza-basque-singing-style-using-adaptive-sinusoidal-models\/","title":{"rendered":"Xabier Sarasola: Modeling and Detection of Vibrato in Bertsolaritza Basque Singing Style using adaptive Sinusoidal Models"},"content":{"rendered":"<p>Student: Xabier Sarasola<\/p>\n<pre>Supervisor: George P. Kafentzis, Eva Navas\n\nBeing singing synthesis an area with a fast growing, naturalness and expressiveness is\ngoingtobemoreandmoreimportantinthefutureandvibratoisoneofthekeyfeatures\nto achieve that. Even so, the vibrato is not labeled on music scores and each singers\ncan produce it in a very different way, letting each singer to add personal style to each\nsong. Knowingtheimportanceofthisfeatureanditssubjectivity, itisimportanttohave\nanalysis tools to face the problem for each singer or singing style. The main difficulties\nof analyzing Bertsolaritza recordings to analyze the vibrato are two: First, it is not\nsinging style with a high use of vibrato and second, it is a style focused in the quality\noftheimprovisedlyrics, sothequalityofthesingercannotbecomparedtoprofessional\nsinger, this makes the F0 curves to be more irregular and harder to be analyzed in terms\nof modulation. The advantage we have is it is sung a cappela, therefore, we can avoid\nthe problems of separation of singing voice from music accompaniment.<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Student: Xabier Sarasola Supervisor: George P. Kafentzis, Eva Navas Being singing synthesis an area with a fast growing, naturalness and expressiveness is goingtobemoreandmoreimportantinthefutureandvibratoisoneofthekeyfeatures to achieve that. Even so, the vibrato is not labeled on music scores and each singers can produce it in a very different way, letting each singer to add personal style to&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_es_post_content":"","_es_post_name":"","_es_post_excerpt":"","_es_post_title":"","_eu_post_content":"","_eu_post_name":"","_eu_post_excerpt":"","_eu_post_title":"","_en_post_content":"Student: Xabier Sarasola\n<pre>Supervisor: George P. Kafentzis, Eva Navas\n\nBeing singing synthesis an area with a fast growing, naturalness and expressiveness is\ngoingtobemoreandmoreimportantinthefutureandvibratoisoneofthekeyfeatures\nto achieve that. Even so, the vibrato is not labeled on music scores and each singers\ncan produce it in a very different way, letting each singer to add personal style to each\nsong. Knowingtheimportanceofthisfeatureanditssubjectivity, itisimportanttohave\nanalysis tools to face the problem for each singer or singing style. The main difficulties\nof analyzing Bertsolaritza recordings to analyze the vibrato are two: First, it is not\nsinging style with a high use of vibrato and second, it is a style focused in the quality\noftheimprovisedlyrics, sothequalityofthesingercannotbecomparedtoprofessional\nsinger, this makes the F0 curves to be more irregular and harder to be analyzed in terms\nof modulation. The advantage we have is it is sung a cappela, therefore, we can avoid\nthe problems of separation of singing voice from music accompaniment.<\/pre>","_en_post_name":"modeling-and-detection-of-vibrato-in-bertsolaritza-basque-singing-style-using-adaptive-sinusoidal-models","_en_post_excerpt":"","_en_post_title":"Xabier Sarasola: Modeling and Detection of Vibrato in Bertsolaritza Basque Singing Style using adaptive Sinusoidal Models","edit_language":"en","footnotes":""},"categories":[62],"tags":[],"class_list":["post-1824","post","type-post","status-publish","format-standard","hentry","category-master-thesis-finished"],"_links":{"self":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/1824","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/comments?post=1824"}],"version-history":[{"count":2,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/1824\/revisions"}],"predecessor-version":[{"id":3074,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/posts\/1824\/revisions\/3074"}],"wp:attachment":[{"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/media?parent=1824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/categories?post=1824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aholab.ehu.eus\/aholab\/wp-json\/wp\/v2\/tags?post=1824"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}