When referencing this database, please cite:
Please also include the standard citation for PhysioNet:
Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mark RG, Mietus
JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, PhysioToolkit, and
PhysioNet: Components of a New Research Resource for Complex Physiologic
Signals.
Circulation 101(23):e215-e220 [Circulation Electronic Pages;
http://circ.ahajournals.org/cgi/content/full/101/23/e215];
2000 (June 13).
Introduction
This database includes 208 voice samples, from 150 pathological, and 58 healthy voices.
Data Collection
The healthy voices or the presence of each vocal fold's disorders were clinically verified by the medical experts involved in the project. All diagnoses were made according to indications of the SIFEL protocol, a clinical protocol compiled by the Italian Society of Phoniatrics
and Logopaedics. The database includes information such as gender, age, pathology, lifestyle habits (e.g. smoking, alcohol and coffee
consummation), occupational status, and the results of two specific medical questionnaires: the Voice Handicap Index (VHI) and Reflux Symptom Index (RSI).
The medical phonatric examinations, the voice signal acquisitions, and the completion of the medical questionnaires were performed
at the ambulatories of Phoniatrics and Videolaryngoscopy of the Hospital University of Naples "Federico II", or at the medical room
of the "Institute of High Performance Computing and Networking (ICAR-CNR)".
The study started on May 16, 2016 and ended on May 15, 2017.
The acquired signals consists of a recording of a vocalization of the vowel 'a' five seconds in length without any interruption of sound.
All samples were recorded in a quiet (< 30 dB of background noise) and not too dry (humidity greater than 30-40%) room.
The voice recordings were made using an appropriate m-health system, Vox4Health, able to acquire in real time the voice signal
by using the microphone of a mobile device. This system was installed on a Samsung Galaxy S4, Android version 5.0.1. It was held
at a distance of about 20 cm from the patient at an angle of about 45 degrees. All recordings were sampled at 8000 Hz and their resolution
was 32-bit. Additionally, each recording was filltered with an appropriate filter to remove any noise accidentally added during the
acquisition. The participants were instructed to articulate the vocal sample, with a constant voice intensity, as they would during a normal conversation.
For each subject certain training tests were performed about two/three times before the recording.
Subjects involved in the study had to be adults aged between 18 and 70 years and able to follow several phases expected in the process.
While people aged under 18 and over 70, or with diseases such as folds or upper respiratory tract infections or with neurological
disorders were excluded.
Files
The voice recordings are provided in WFDB format and text format. In addition, the info text files describe the demographics of subjects.
Database Creators
The VOICED (VOice ICar fEDerico II) Database was created by: Ugo Cesari (1), Giuseppe De Pietro (2), Elio Marciano (3), Ciro Niri (4), Giovanna Sannino (2), Laura Verde (5).
- Department of Otorhinolaryngology, Universityy Hospital (Policlinico) Federico II of Naples, Via S.Pansini, 5 - Naples,Italy
- Institute of High Performance Computing and Networking (ICAR-CNR), Via Pietro Castellino, 111-Naples, Italy.
- Area of Audiology, Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples Federico II, Via S.Pansini, 5-Naples, Italy
- Independent Doctor Surgeon Specialized in Audiology and Phoniatrics
- Department of Engineering, University of Naples Parthenope, Centro Direzionale di Napoli, Isola C4 - Naples,Italy
Contact
-
Laura Verde
laura.verde@uniparthenope.it
laura.verde@icar.cnr.it
-
Giovanna Sannino
giovanna.sannino@icar.cnr.it
Name Last modified Size Description
![[PARENTDIR]](/icons/back.gif)
Parent Directory -
![[ ]](/icons/unknown.gif)
DOI 2018-08-29 16:44 19
MD5SUMS 2018-08-30 16:38 39K
SHA1SUMS 2018-08-30 16:38 46K
SHA256SUMS 2018-08-30 16:38 65K
![[TXT]](/icons/text.gif)
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voice208.txt 2018-06-22 17:10 392K
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voice001.dat 2018-06-22 17:10 149K digitized signal(s)
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voice208.hea 2018-06-22 17:10 175 header file
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Updated
Friday, 28 October 2016 at 16:58 EDT
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