The given paper is aimed at investigating synchronization of musical acoustics (pitch, frequencies, durations) and articulatory movements in Russian classical romance. The study employs the method of electromagnetic articulography (EMA) to observe and compare objective data on articulatory characteristics in singing and reading. The genre of romance was chosen as it does not normally employ vocal techniques specific to opera singing (vibrato and etc.) which affect vowel intelligibility significantly. The romance chosen for the experiment is often performed by Russian singers being a part of canonic repertoire at conservatoires. We obtained the samples of singing and read speech and registered the objective data in both types of articulation activities. The recordings can be considered parallel as they were made in succession during one experiment. The calibration and attachment of the sensors was performed once in the beginning of the experiment. That means that the sensor positions were the same for the both recordings which makes them comparable in terms of articulatory data. The obtained material (both singing and reading) is annotated and analyzed in terms of the synchronisation of articulatory movements and pitch in singing as opposed to that in speech.

Original languageEnglish
Title of host publicationLanguage, Music and Computing - Second International Workshop, LMAC 2017, Revised Selected Papers
EditorsOlga Mitrenina, Asya Pereltsvaig, Polina Eismont
PublisherSpringer Nature
Pages49-57
Number of pages9
ISBN (Print)9783030055936
DOIs
StatePublished - 1 Jan 2019
Event2nd International Workshop on Language, Music and Computing, LMAC 2017 - St. Petersburg, Russian Federation
Duration: 17 Apr 201719 Apr 2017

Publication series

NameCommunications in Computer and Information Science
Volume943
ISSN (Print)1865-0929

Conference

Conference2nd International Workshop on Language, Music and Computing, LMAC 2017
Country/TerritoryRussian Federation
CitySt. Petersburg
Period17/04/1719/04/17

    Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

    Research areas

  • Acoustics in singing, Articulation in singing, Electromagnetic articulography, Intelligibility, Perception of singing, Singing vowels, Vocal tract

ID: 37666058