Mobile Digital Recording: Adequacy of the iRig and iOS Device for Acoustic and Perceptual Analysis of Normal Voice

被引:19
作者
Oliveira, Gisele [1 ]
Fava, Gaetano [2 ]
Baglione, Melody [3 ]
Pimpinella, Michael [3 ]
机构
[1] Touro Coll, Brooklyn, NY USA
[2] Columbia Univ, Med Ctr, New York Presbyterian Hosp, 622 West 168th St,VC 10,Rm 1001, New York, NY 10032 USA
[3] Cooper Union Adv Sci & Art, New York, NY 10003 USA
关键词
voice; dysphonia; recording; microphone; technology; HEALTH-CARE; SMARTPHONES; APPS;
D O I
10.1016/j.jvoice.2016.05.023
中图分类号
R36 [病理学]; R76 [耳鼻咽喉科学];
学科分类号
100104 ; 100213 ;
摘要
Objective. To determine whether the iRig and iOS device recording system is comparable with a standard computer recording system for digital voice recording. Methods. Thirty-seven vocally healthy adults, between ages 20 and 62, with a mean age of 33.9 years, 13 males and 24 females, were recruited. Recordings were simultaneously digitalized in an iPad and iPhone using a unidirectional condenser microphone for smartphones/tablets (iRig Mic, IK Multimedia) and in a computer laptop (Dell-Inspiron) using a unidirectional condenser microphone (Samson-CL5) connected to a preamplifier with phantom power. Both microphones were lined up at an equal fixed distance from the subject's mouth. Speech tasks consisted of a sustained vowel "ah" at comfortable pitch/loudness, counting from 1 to 10, and a glissando "ah" from a low to a high note. The samples captured on the iOS devices were transferred via SoundCloud in WAV format, and analyzed using the Praat software. The acoustic parameters measured were mean, min, and max F0, SD F0, jitter local, jitter rap, jitter ppq5, jitter ddp, shimmer local, shimmer local-dB, shimmer apq3, shimmer apq5, shimmer apq11, shimmer dda, NHR, and HNR. Results. There were no statistically significant differences for any parameter and speech task analyzed for both iOS devices as compared with the gold standard computer/preamp system (all P values > 0.050). In addition, there were no statistical differences in the perceptual identification of the recordings among devices (P < 0.001). Conclusion. In the present study, the iRig and iOS device may provide reliable digital recording of normal voices.
引用
收藏
页码:236 / 242
页数:7
相关论文
共 37 条
  • [31] Sherer RC, 2014, VOIC FDN 42 ANN S PH
  • [32] Sohlberg M, 2013, 2013 ASHA CONV
  • [33] Guidelines for Selecting Microphones for Human Voice Production Research
    Svec, Jan G.
    Granqvist, Svante
    [J]. AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY, 2010, 19 (04) : 356 - 368
  • [34] Smartphones in ecology and evolution: a guide for the app-rehensive
    Teacher, Amber G. F.
    Griffiths, David J.
    Hodgson, David J.
    Inger, Richard
    [J]. ECOLOGY AND EVOLUTION, 2013, 3 (16): : 5268 - 5278
  • [35] SOME TECHNICAL CONSIDERATIONS IN VOICE PERTURBATION MEASUREMENTS
    TITZE, IR
    HORII, Y
    SCHERER, RC
    [J]. JOURNAL OF SPEECH AND HEARING RESEARCH, 1987, 30 (02): : 252 - 260
  • [36] Titze IR., 1995, WORKSH AC VOIC AN, P4
  • [37] Ventola C Lee, 2014, P T, V39, P356