Modulation rate discrimination for unresolved components: Temporal cues related to fine structure and envelope

2003 ◽  
Vol 113 (2) ◽  
pp. 986-993 ◽  
Author(s):  
Joseph W. Hall ◽  
Emily Buss ◽  
John H. Grose
Keyword(s):  
Fine Structure ◽  
Temporal Cues ◽  
Modulation Rate ◽  
Rate Discrimination

Interference of modulation rate discrimination of pure tones

1988 ◽  
Vol 84 (S1) ◽  
pp. S140-S140
Author(s):  
William A. Yost ◽  
Stanley Sheft ◽  
Jane Opie
Keyword(s):  
Modulation Rate ◽  
Pure Tones ◽  
Rate Discrimination

scholarly journals Audiovisual Rate-Discrimination Depends on Both Spatial and Temporal Cues for Integration

2016 ◽  
Vol 16 (12) ◽  
pp. 864
Author(s):  
Shannon Locke ◽  
Michael Landy
Keyword(s):  
Temporal Cues ◽  
Rate Discrimination

scholarly journals Speech fine structure contains critical temporal cues to support speech segmentation

NeuroImage ◽  
2019 ◽  
Vol 202 ◽  
pp. 116152 ◽  
Author(s):  
Xiangbin Teng ◽  
Gregory B. Cogan ◽  
David Poeppel
Keyword(s):  
Fine Structure ◽  
Speech Segmentation ◽  
Temporal Cues

scholarly journals Speech Fine Structure Contains Critical Temporal Cues to Support Speech Segmentation

2018 ◽  
Author(s):  
Xiangbin Teng ◽  
Gregory Cogan ◽  
David Poeppel
Keyword(s):  
Fine Structure ◽  
Speech Recognition ◽  
Temporal Information ◽  
Speech Segmentation ◽  
Speech Signals ◽  
Part Of Speech ◽  
Temporal Cues ◽  
Linguistic Analyses ◽  
Synthetic View ◽  
Mutual Information Analysis

Segmenting the continuous speech stream into units for further perceptual and linguistic analyses is fundamental to speech recognition. The speech amplitude envelope (SE) has long been considered a fundamental temporal cue for segmenting speech. Does the temporal fine structure (TFS), a significant part of speech signals often considered to contain primarily spectral information, contribute to speech segmentation? Using magnetoencephalography, we show that the TFS entrains cortical oscillatory responses between 3-6 Hz and demonstrate, using mutual information analysis, that (i) the temporal information in the TFS can be reconstructed from a measure of frame-to-frame spectral change and correlates with the SE and (ii) that spectral resolution is key to the extraction of such temporal information. Furthermore, we show behavioural evidence that, when the SE is temporally distorted, the TFS provides cues for speech segmentation and aids speech recognition significantly. Our findings show that it is insufficient to investigate solely the SE to understand temporal speech segmentation, as the SE and the TFS derived from a band-filtering method convey comparable, if not inseparable, temporal information. We argue for a more synthetic view of speech segmentation — the auditory system groups speech signals coherently in both temporal and spectral domains.

Modulation rate discrimination by normal‐hearing and hearing‐impaired listeners

1996 ◽  
Vol 100 (4) ◽  
pp. 2817-2817
Author(s):  
Ken W. Grant ◽  
Van Summers ◽  
Marjorie R. Leek
Keyword(s):  
Normal Hearing ◽  
Hearing Impaired ◽  
Modulation Rate ◽  
Rate Discrimination
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