DOI

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.

Язык оригиналаанглийский
Название основной публикацииLanguage, Music and Computing - Second International Workshop, LMAC 2017, Revised Selected Papers
РедакторыOlga Mitrenina, Asya Pereltsvaig, Polina Eismont
ИздательSpringer Nature
Страницы49-57
Число страниц9
ISBN (печатное издание)9783030055936
DOI
СостояниеОпубликовано - 1 янв 2019
Событие2nd International Workshop on Language, Music and Computing, LMAC 2017 - St. Petersburg, Российская Федерация
Продолжительность: 17 апр 201719 апр 2017

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том943
ISSN (печатное издание)1865-0929

конференция

конференция2nd International Workshop on Language, Music and Computing, LMAC 2017
Страна/TерриторияРоссийская Федерация
ГородSt. Petersburg
Период17/04/1719/04/17

    Предметные области Scopus

  • Компьютерные науки (все)
  • Математика (все)

ID: 37666058