Results 151 to 160 of about 2,629 (193)

Healthcare professionals' perspectives on medication adherence-supporting tools: a cross‑sectional survey in Italy. [PDF]

open access: yesEur J Clin Pharmacol
Donati M   +12 more
europepmc   +1 more source

Voice acoustic measures of depression severity and treatment response collected via interactive voice response (IVR) technology [PDF]

open access: yesJournal of Neurolinguistics, 2007
Efforts to develop more effective depression treatments are limited by assessment methods that rely on patient-reported or clinician judgments of symptom severity. Depression also affects speech. Research suggests several objective voice acoustic measures affected by depression can be obtained reliably over the telephone. Thirty-five physician-referred
James C Mundt   +2 more
exaly   +3 more sources

Use of interactive voice response (IVR) technology in health research with children

Behavior Research Methods, 2005
This article reports on the feasibility of using interactive voice response (IVR) technology to obtain daily reports of attitudes toward alcohol and tobacco use among children 9-13 years of age. Two studies were conducted. The first was an investigation of the use of IVR technology to obtain daily data from a sample of primary school children over a ...
Werner G K Stritzke   +2 more
exaly   +3 more sources

Correspondence between Interactive Voice Response (IVR) and Timeline Followback (TLFB) reports of drinking behavior [PDF]

open access: yesAddictive Behaviors, 2006
This study compared reports of alcohol consumption using an Interactive Voice Response (IVR) system and the Timeline Followback (TLFB). One hundred eighty-two daily smokers who were not alcohol dependent provided once daily reports of alcohol consumption using an IVR system and participated in a weekly TLFB interview.
Benjamin A Toll   +2 more
exaly   +3 more sources

Detection of interactive voice response (IVR) in phone call records

International Journal of Speech Technology, 2020
Separation of pre-recorded messages (Interactive Voice Response, IVR) from live speech fragments in real-time plays a significant role in speech emotion recognition (SER) systems, unwanted calls filtering, automatic detection of answering machine responses, reduction of stored record sizes, voice mail spam filtration, etc.
Andrei V. Kopylov   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy