Evaluation of Auditory Stream Segregation in Musicians and Nonmusicians
Introduction One of the major cues that help in auditory stream segregation is spectral profiling. Musicians are trained to perceive a fine structural variation in the acoustic stimuli and have enhanced temporal perception and speech perception in noise.
Objective To analyze the differences in spectral profile thresholds in musicians and nonmusicians.
Methods The spectral profile analysis threshold was compared between 2 groups (musicians and nonmusicians) in the age range between 15 and 30 years old. The stimuli had 5 harmonics, all at the same amplitude (f0 = 330 Hz, mi4). The third (variable tone) has a similar harmonic structure; however, the amplitude of the third harmonic component was higher, producing a different timbre in comparison with the standards. The subject had to identify the odd timbre tone. The testing was performed at 60 dB HL in a sound-treated room.
Results The results of the study showed that the profile analysis thresholds were significantly better in musicians compared with nonmusicians. The result of the study also showed that the profile analysis thresholds were better with an increase in the duration of music training. Thus, improved auditory processing in musicians could have resulted in a better profile analysis threshold.
Conclusions Auditory stream segregation was found to be better in musicians compared with nonmusicians, and the performance improved with an increase in several years of training. However, further studies are essential on a larger group with more variables for validation of the results.
Johnson N. was involved in the study design, stimulus preparation, data collection, analysis of the data, interpretation and writing of the manuscript; Shiju A. M. was involved in the study design, data collection, analysis of the results and writing of the manuscript; Parmar A. was involved in the study design, data collection, analysis of the results and writing of the manuscript, and Prabhu P. was involved in the study design, data collection, analysis of the results and writing of the manuscript.
Received: 06 July 2019
Accepted: 30 January 2020
24 April 2020 (online)
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- 1 Bregman AS. Auditory scene analysis: The perceptual organization of sound. MIT Press; 1994
- 2 Brunstrom JM, Roberts B. Profiling the perceptual suppression of partials in periodic complex tones: further evidence for a harmonic template. J Acoust Soc Am 1998; 104 (06) 3511-3519
- 3 Green DM. Profile Analysis: Auditory Intensity Discrimination. Oxford: Oxford University Press; 1983
- 4 Strait DL, Parbery-Clark A, O'Connell S, Kraus N. Biological impact of preschool music classes on processing speech in noise. Dev Cogn Neurosci 2013; 6: 51-60
- 5 Rammsayer T, Altenmüller E. Temporal information processing in musicians and nonmusicians. Music Percept 2006; 24 (01) 37-48
- 6 Jain C, Mohamed H, Kumar AU. The effect of short-term musical training on speech perception in noise. Audiology Res 2015; 5 (01) 111
- 7 Mishra SK, Panda MR, Raj S. Influence of musical training on sensitivity to temporal fine structure. Int J Audiol 2015; 54 (04) 220-226
- 8 Zendel BR, Alain C. Concurrent sound segregation is enhanced in musicians. J Cogn Neurosci 2009; 21 (08) 1488-1498
- 9 Marozeau J, Innes-Brown H, Blamey PJ. The effect of timbre and loudness on melody segregation. Music Percept 2013; 30 (03) 259-274
- 10 Marozeau J, Innes-Brown H, Grayden DB, Burkitt AN, Blamey PJ. The effect of visual cues on auditory stream segregation in musicians and non-musicians. PLoS One 2010; 5 (06) e11297
- 11 Soranzo A, Grassi M. PSYCHOACOUSTICS: a comprehensive MATLAB toolbox for auditory testing. Front Psychol 2014; 5: 712
- 12 Trainor LJ. The origins of music in auditory scene analysis and the roles of evolution and culture in musical creation. Philos Trans R Soc Lond B Biol Sci 2015; 370 (1664): 20140089
- 13 Strait DL, Kraus N, Parbery-Clark A, Ashley R. Musical experience shapes top-down auditory mechanisms: evidence from masking and auditory attention performance. Hear Res 2010; 261 (1-2): 22-29
- 14 Boh B, Herholz SC, Lappe C, Pantev C. Processing of complex auditory patterns in musicians and nonmusicians. PLoS One 2011; 6 (07) e21458
- 15 Strait DL, Parbery-Clark A, Hittner E, Kraus N. Musical training during early childhood enhances the neural encoding of speech in noise. Brain Lang 2012; 123 (03) 191-201
- 16 Rajendran VG, Teki S, Schnupp JWH. Temporal processing in audition: insights from music. Neuroscience 2018; 389: 4-18
- 17 Kumar P, Sanju HK, Nikhil J. Temporal resolution and active auditory discrimination skill in vocal musicians. Int Arch Otorhinolaryngol 2016; 20 (04) 310-314
- 18 Fadel CBX, Ribas A, Lüders D, Fonseca VR, Cat MNL. Pitch-Matching Accuracy and Temporal Auditory Processing. Int Arch Otorhinolaryngol 2018; 22 (02) 113-118
- 19 Kishon-Rabin L, Amir O, Vexler Y, Zaltz Y. Pitch discrimination: are professional musicians better than non-musicians?. J Basic Clin Physiol Pharmacol 2001; 12 (02) 125-143
- 20 Micheyl C, Delhommeau K, Perrot X, Oxenham AJ. Influence of musical and psychoacoustical training on pitch discrimination. Hear Res 2006; 219 (1-2): 36-47
- 21 Bidelman GM, Krishnan A. Effects of reverberation on brainstem representation of speech in musicians and non-musicians. Brain Res 2010; 1355: 112-125
- 22 Parbery-Clark A, Skoe E, Lam C, Kraus N. Musician enhancement for speech-in-noise. Ear Hear 2009; 30 (06) 653-661
- 23 Engel AC, Bueno CD, Sleifer P. Treinamento musical e habilidades do processamento auditivo em crianças: revisão sistemática. Audiol Commun Res 2019; •••: 24
- 24 Soderquist DR. Frequency analysis and the critical band. Psychon Sci 1970; 21 (02) 117-119
- 25 Bidelman GM, Schug JM, Jennings SG, Bhagat SP. Psychophysical auditory filter estimates reveal sharper cochlear tuning in musicians. J Acoust Soc Am 2014; 136 (01) EL33-EL39
- 26 Amos NE, Humes LE. Contribution of high frequencies to speech recognition in quiet and noise in listeners with varying degrees of high-frequency sensorineural hearing loss. J Speech Lang Hear Res 2007; 50 (04) 819-834