Long-term voice monitoring with smartphone applications and contact microphone

التفاصيل البيبلوغرافية
العنوان: Long-term voice monitoring with smartphone applications and contact microphone
المؤلفون: Gian Luca D'Antonio, Antonella Castellana, Anna Accornero, Louena Shtrepi, Simone Corbellini, Giorgio Marcuzzo, Arianna Astolfi, Alberta Pierobon, A. Peretti, Giuseppina Emma Puglisi, Alessio Carullo, Massimo Spadola, Giovanni Battista Bartolucci
بيانات النشر: ACOUSTICAL SOCIETY OF AMERICA, 2017.
سنة النشر: 2017
مصطلحات موضوعية: cepstral analyses, teachers, Acoustics and Ultrasonics, Computer science, Acoustics, voice monitoring, device, smartphone, VOCAL PARAMETERS, Smartphone application, Term (time), Arts and Humanities (miscellaneous), Human–computer interaction, Contact microphone, Voice activity
الوصف: In recent years, the growing interest in the recognition of voice disorders as occupational diseases has required screening methods adaptable to the clinical requirements, capable to extend the collection of baseline data. In this framework, the use of smartphones has gained increasing interest, thanks to advancements in digital technology, which made them suitable for recording and analyzing acoustic signals. Two smartphone applications, based on the Voice Care® technology, have been developed for long-term monitoring of voice activity when combined with a cheap contact microphone embedded in a collar. The applications have been tested in laboratory and used for the monitoring of teachers at kindergarten, primary school, and university. Vocal Holter App allows the selection of short and long term monitoring mode, and three different clusters of vocal parameters related to intensity, intonation, and load, respectively. Most of the results are based on the distributions of occurrences of vocal parameters. ...
اللغة: English
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52d16043e0f7bfc5ffde9f2997c38883Test
http://hdl.handle.net/11583/2675320Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....52d16043e0f7bfc5ffde9f2997c38883
قاعدة البيانات: OpenAIRE