Literature DB >> 12590914

The effect of spectral manipulations on the identification of affective and linguistic prosody.

Kala Lakshminarayanan1, Dorit Ben Shalom, Virginie van Wassenhove, Diana Orbelo, John Houde, David Poeppel.   

Abstract

We investigated the effect of various spectral manipulations on the identification of sentential prosody. Two main categories of prosody--affective (happy, angry, sad) and linguistic (statement, question, continuation)--were studied. Thirty-six subjects were presented with stimuli that were recorded by a female native speaker of American English. The stimuli were digitally manipulated to create synthesized, band-pass filtered (F0-range and F2/F3-range) and re-entrant (pitch only version of stimulus is convolved with a steady-state signal) conditions. Results of a forced-choice discrimination paradigm showed that, in general, performance is remarkably robust despite spectral manipulation, even when there is relatively little spectral information. However, performance was significantly degraded in the low band-pass and re-entrant conditions. These observations are discussed in light of the relevance of the fundamental frequency as well as syllabification for the analysis of prosodic information. Copyright 2002 Elsevier Science (USA)

Mesh:

Year:  2003        PMID: 12590914     DOI: 10.1016/s0093-934x(02)00516-3

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  7 in total

1.  Mismatch negativity to tonal contours suggests preattentive perception of prosodic content.

Authors:  David I Leitman; Pejman Sehatpour; Marina Shpaner; John J Foxe; Daniel C Javitt
Journal:  Brain Imaging Behav       Date:  2009-06-30       Impact factor: 3.978

2.  Evidence for a perception of prosodic cues in bat communication: contact call classification by Megaderma lyra.

Authors:  Simone Janssen; Sabine Schmidt
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-04-23       Impact factor: 1.836

3.  The contribution of sound intensity in vocal emotion perception: behavioral and electrophysiological evidence.

Authors:  Xuhai Chen; Jianfeng Yang; Shuzhen Gan; Yufang Yang
Journal:  PLoS One       Date:  2012-01-23       Impact factor: 3.240

4.  Effects of training on recognition of musical instruments presented through cochlear implant simulations.

Authors:  Virginia D Driscoll; Jacob Oleson; Dingfeng Jiang; Kate Gfeller
Journal:  J Am Acad Audiol       Date:  2009-01       Impact factor: 1.664

5.  Prosodic processing by children: an fMRI study.

Authors:  Elena Plante; Scott K Holland; Vince J Schmithorst
Journal:  Brain Lang       Date:  2006-02-07       Impact factor: 2.381

6.  Preliminary Evidence of Pre-Attentive Distinctions of Frequency-Modulated Tones that Convey Affect.

Authors:  David I Leitman; Pejman Sehatpour; Christina Garidis; Manuel Gomez-Ramirez; Daniel C Javitt
Journal:  Front Hum Neurosci       Date:  2011-10-03       Impact factor: 3.169

7.  Conjugating time and frequency: hemispheric specialization, acoustic uncertainty, and the mustached bat.

Authors:  Stuart D Washington; John S Tillinghast
Journal:  Front Neurosci       Date:  2015-04-27       Impact factor: 4.677

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.