2004
DOI: 10.1016/j.ics.2004.09.017
|View full text |Cite
|
Sign up to set email alerts
|

Temporal fine structure: the missing component in speech processing algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
5
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(5 citation statements)
references
References 4 publications
0
5
0
Order By: Relevance
“…Despite the remarkable speech understanding cochlear implant (CI) users demonstrate in quiet environments, complex sound processing such as music perception remains poor for most deafened implantees 1,2 . Music, notably, is a highly elaborate acoustic stimulus that requires complex resolution mechanisms and precise fine temporal spectral signal processing to extract information and meaning 3,4 . Unfortunately, CI users interface with significant pitch distortion and degraded spectral fine structure cues‐both which contribute to poor music perception and musical sound quality 5,6 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite the remarkable speech understanding cochlear implant (CI) users demonstrate in quiet environments, complex sound processing such as music perception remains poor for most deafened implantees 1,2 . Music, notably, is a highly elaborate acoustic stimulus that requires complex resolution mechanisms and precise fine temporal spectral signal processing to extract information and meaning 3,4 . Unfortunately, CI users interface with significant pitch distortion and degraded spectral fine structure cues‐both which contribute to poor music perception and musical sound quality 5,6 .…”
Section: Introductionmentioning
confidence: 99%
“…1,2 Music, notably, is a highly elaborate acoustic stimulus that requires complex resolution mechanisms and precise fine temporal spectral signal processing to extract information and meaning. 3,4 Unfortunately, CI users interface with significant pitch distortion and degraded spectral fine structure cuesboth which contribute to poor music perception and musical sound quality. 5,6 Furthermore, CI users face great difficulty with extracting melodic pitch from complex stimuli, an important mechanism for musical recognition 7 and enjoyment.…”
Section: Introductionmentioning
confidence: 99%
“…In turn loss or degradation of these cues may contribute to poor speech understanding in noise, especially in dynamically changing backgrounds in which there are competing speakers or modulated noise [ 13 ]. Degraded temporal fine structure processing in CI subjects has proven to be detrimental for speech understanding in noise [ 38 ].…”
Section: Discussionmentioning
confidence: 99%
“…Some studies compared CI users' performance to NH listeners' performance with CI simulations (vocoded speech), rather than with unmanipulated speech (Sjoberg et al, 2017;Stickney et al, 2004). In these cases, CI users performed comparably to NH listeners exposed to stimuli that were filtered to a certain amount of channels or frequency bands.…”
Section: Comparison To Individuals With Typical Hearingmentioning
confidence: 99%
“…Broadly, these recommendations include hopes for better algorithms and coding schemes or better optimization strategies for coding algorithms for both children and adults (Geers et al, 2013;Kovačić & Balaban, 2009). For instance, the inclusion of temporal fine structure in CI processors has the potential to improve performance of CI users not just in talker recognition, but across a variety of auditory tasks, including speech recognition in noise and perception of music and lexical tone (Stickney et al, 2004). Additionally, VTL perception has been singled out as a limitation imposed by CI technology (Zaltz et al, 2018).…”
Section: Recommendationsmentioning
confidence: 99%