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  • In this paper, we present the results of a clustering experiment, the aim of which was to show whether or not the proximity of pitch contours is sufficient condition for perceptually smooth transitions at concatenation points in concatenative speech synthesis. The experiment was motivated by a previous finding which had shown that the support vector machine (SVM) classifiers are capable of separating with a high accuracy perceptually continuous and discontinuous joins using the pitch contours extracted from the vicinity of concatenation points as predictors. The experiment has shown that clustering of observations in a form of pitch contours represented in different scales using the euclidean distance as a metric does not prove to be a reliable way of identifying discontinuities at concatenation points.
  • In this paper, we present the results of a clustering experiment, the aim of which was to show whether or not the proximity of pitch contours is sufficient condition for perceptually smooth transitions at concatenation points in concatenative speech synthesis. The experiment was motivated by a previous finding which had shown that the support vector machine (SVM) classifiers are capable of separating with a high accuracy perceptually continuous and discontinuous joins using the pitch contours extracted from the vicinity of concatenation points as predictors. The experiment has shown that clustering of observations in a form of pitch contours represented in different scales using the euclidean distance as a metric does not prove to be a reliable way of identifying discontinuities at concatenation points. (en)
Title
  • Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours
  • Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours (en)
skos:prefLabel
  • Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours
  • Identifying Concatenation Discontinuities by Hierarchical Divisive Clustering of Pitch Contours (en)
skos:notation
  • RIV/49777513:23520/11:43898189!RIV12-TA0-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/09/0989), P(TA01030476), S
http://linked.open...iv/cisloPeriodika
  • 6836
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 203435
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/11:43898189
http://linked.open...riv/jazykVysledku
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  • hierarchical divisive clustering; pitch contours; concatenation cost; unit selection; speech synthesis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • DE - Spolková republika Německo
http://linked.open...ontrolniKodProRIV
  • [AE6D8BE7CC77]
http://linked.open...i/riv/nazevZdroje
  • Lecture Notes in Artificial Intelligence
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 2011
http://linked.open...iv/tvurceVysledku
  • Legát, Milan
  • Matoušek, Jindřich
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-23538-2_22
http://localhost/t...ganizacniJednotka
  • 23520
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