title: Mobile Digital Recording: Adequacy of the iRig and iOS Device for Acoustic and Perceptual Analysis of Normal Voice.
abstract: 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).
  
  
  CONCLUSIONS
  In the present study, the iRig and iOS device may provide reliable digital recording of normal voices.
authors.affiliation: Touro College, Brooklyn, New York.
authors.forename: Gisele
authors.initials: G
authors.lastname: Oliveira
authors.affiliation: Columbia University Medical Center, New York Presbyterian Hospital, New York, New York. Electronic address: gfava@icloud.com.
authors.forename: Gaetano
authors.initials: G
authors.lastname: Fava
authors.affiliation: The Cooper Union for the Advancement of Science and Art, New York, New York.
authors.forename: Melody
authors.initials: M
authors.lastname: Baglione
authors.affiliation: The Cooper Union for the Advancement of Science and Art, New York, New York.
authors.forename: Michael
authors.initials: M
authors.lastname: Pimpinella
mesh_terms: D000162:Acoustics / Q000295:instrumentation*; D000328:Adult; D000669:Amplifiers, Electronic; D001307:Auditory Perception; D034201:Computers, Handheld; D004867:Equipment Design; D005260:Female; D006801:Humans; D007600:Judgment; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D012016:Reference Values; D015203:Reproducibility of Results; D013018:Sound Spectrography; D013061:Speech Acoustics; D013068:Speech Production Measurement / Q000295:instrumentation*; D013997:Time Factors; D014159:Transducers; D014833:Voice Quality; D055815:Young Adult
keywords: dysphonia; microphone; recording; technology; voice