scholarly journals Independence and separability in the perception of complex nonspeech sounds

2009 ◽  
Vol 71 (8) ◽  
pp. 1900-1915 ◽  
Author(s):  
N. H. Silbert ◽  
J. T. Townsend ◽  
J. J. Lentz
Keyword(s):  
Nonspeech Sounds

scholarly journals Uncertainty and response time in identifying nonspeech sounds

1986 ◽  
Vol 79 (S1) ◽  
pp. S47-S47 ◽  
Author(s):  
James A. Ballas ◽  
Martin J. Sliwinski ◽  
John P. Harding
Keyword(s):  
Response Time ◽  
Nonspeech Sounds

Temporal acuity for speech and nonspeech sounds: The role of stimulus uncertainty

1985 ◽  
Vol 77 (S1) ◽  
pp. S27-S27 ◽  
Author(s):  
C. S. Watson ◽  
D. Kewley‐Port ◽  
D. C. Foyle
Keyword(s):  
Stimulus Uncertainty ◽  
Temporal Acuity ◽  
Nonspeech Sounds

Perceptual overshoot with speech and nonspeech sounds

2003 ◽  
Vol 113 (4) ◽  
pp. 2255-2255
Author(s):  
Radhika Aravamudhan ◽  
John. W. Hawks
Keyword(s):  
Nonspeech Sounds

Representation of Sound Categories in Auditory Cortical Maps

2004 ◽  
Vol 47 (1) ◽  
pp. 46-57 ◽  
Author(s):  
Frank H. Guenther ◽  
Alfonso Nieto-Castanon ◽  
Satrajit S. Ghosh ◽  
Jason A. Tourville
Keyword(s):  
Discrimination Training ◽  
Cortical Activation ◽  
Vowel Sound ◽  
Perceptual Distortion ◽  
Nonspeech Sounds ◽  
Acoustic Space ◽  
Sound Category ◽  
Cortical Representations ◽  
Training Discrimination ◽  
The Brain

Functional magnetic resonance imaging (fMRI) was used to investigate the representation of sound categories in human auditory cortex. Experiment 1 investigated the representation of prototypical (good) and nonprototypical (bad) examples of a vowel sound. Listening to prototypical examples of a vowel resulted in less auditory cortical activation than did listening to nonprototypical examples. Experiments 2 and 3 investigated the effects of categorization training and discrimination training with novel nonspeech sounds on auditory cortical representations. The 2 training tasks were shown to have opposite effects on the auditory cortical representation of sounds experienced during training: Discrimination training led to an increase in the amount of activation caused by the training stimuli, whereas categorization training led to decreased activation. These results indicate that the brain efficiently shifts neural resources away from regions of acoustic space where discrimination between sounds is not behaviorally important (e.g., near the center of a sound category) and toward regions where accurate discrimination is needed. The results also provide a straightforward neural account of learned aspects of perceptual distortion near sound categories: Sounds from the center of a category are more difficult to discriminate from each other than sounds near category boundaries because they are represented by fewer cells in the auditory cortical areas.

Perceptual Fusion Tendency of Speech Sounds

2011 ◽  
Vol 23 (4) ◽  
pp. 1003-1014 ◽  
Author(s):  
Ying Huang ◽  
Jingyu Li ◽  
Xuefei Zou ◽  
Tianshu Qu ◽  
Xihong Wu ◽  
...  
Keyword(s):  
Speech Processing ◽  
Speech Sound ◽  
Amplitude Fluctuation ◽  
Speech Sounds ◽  
Sound Sources ◽  
Reflected Waves ◽  
Sound Image ◽  
Grouping Strategy ◽  
Nonspeech Sounds ◽  
Reverberant Environment

To discriminate and to recognize sound sources in a noisy, reverberant environment, listeners need to perceptually integrate the direct wave with the reflections of each sound source. It has been confirmed that perceptual fusion between direct and reflected waves of a speech sound helps listeners recognize this speech sound in a simulated reverberant environment with disrupting sound sources. When the delay between a direct sound wave and its reflected wave is sufficiently short, the two waves are perceptually fused into a single sound image as coming from the source location. Interestingly, compared with nonspeech sounds such as clicks and noise bursts, speech sounds have a much larger perceptual fusion tendency. This study investigated why the fusion tendency for speech sounds is so large. Here we show that when the temporal amplitude fluctuation of speech was artificially time reversed, a large perceptual fusion tendency of speech sounds disappeared, regardless of whether the speech acoustic carrier was in normal or reversed temporal order. Moreover, perceptual fusion of normal-order speech, but not that of time-reversed speech, was accompanied by increased coactivation of the attention-control-related, spatial-processing-related, and speech-processing-related cortical areas. Thus, speech-like acoustic carriers modulated by speech amplitude fluctuation selectively activate a cortical network for top–down modulations of speech processing, leading to an enhancement of perceptual fusion of speech sounds. This mechanism represents a perceptual-grouping strategy for unmasking speech under adverse conditions.

scholarly journals Cortical differentiation of speech and nonspeech sounds at 100 ms: implications for dyslexia

2004 ◽  
Vol 15 (7) ◽  
pp. 1054-1063 ◽  
Author(s):  
Tiina Parviainen ◽  
Päivi Helenius ◽  
Riitta Salmelin
Keyword(s):  
Nonspeech Sounds
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