Main

type

0 (not classified)

status

21 (imported old-v2, waiting for another import)

review version

1

cleanup version

0

pending deletion

0 (-)

created at

2026-01-05 04:10:01

updated at

2026-01-05 04:10:01

Address

url

http://2016.speech-in-noise.eu/?p=programme&id=98

url length

49

url crc

35186

url crc32

1244105074

location type

1 (url matches target location, page_location is empty)

canonical status

2 (missing canonical tag in html)

canonical page id

-

Source

domain id

517657905

domain tld

978

domain parts

3

originating warc id

6603845

originating url

source type

11 (CommonCrawl)

Server response

server ip

213.186.33.40

Publication date

2025-07-19 14:50:16

Fetch attempts

0

Original html size

8648

Normalized and saved size

8222

Content

title

SpiN2016 - 8th Speech in Noise Workshop, 7-8 January 2016, Groningen, NL

excerpt

content

Development of a new test for determining binaural sensitivity to temporal fine structure Christian Füllgrabe(a)MRC Institute of Hearing Research, Nottingham, GB Andrew J. HarlandDepartment of Psychology, University of Cambridge, GB Aleksander P. SekInstitute of Acoustics, Adam Mickiewicz University, PL Brian C.J. MooreDepartment of Psychology, University of Cambridge, GB(a) Presenting Speech identification in noise has been shown to be associated with a listener’s sensitivity to the temporal-fine-structure (TFS) of sounds. Both hearing loss and age (Hopkins & Moore, 2011; Füllgrabe, 2013) seem to adversely affect the ability to process TFS information. Hence, there has been keen interest in the development of tests that could be used in the clinic or in large-scale research studies to assess sensitivity to TFS. Moore and colleagues designed two such tests: the monaural TFS1 test that requires listeners to discriminate complex harmonic tones from the same ton...

author

updated

1768081691

Text analysis

block type

0

extracted fields

105

extracted bits

featured image
title
full content
content was extracted heuristically

detected location

0

detected language

1 (English)

category id

Medicine [en] (226)

index version

2025123101

paywall score

0

spam phrases

0

Text statistics

text nonlatin

0

text cyrillic

0

text characters

2357

text words

455

text unique words

234

text lines

1

text sentences

16

text paragraphs

1

text words per sentence

28

text matched phrases

2

text matched dictionaries

3