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1 h equivalent acoustic complexity but varying intelligibility.
2 oss and severe impairment of speech-in-noise intelligibility.
3 less spectrotemporal detail thereby reducing intelligibility.
4 tic feature processing tracked reliably with intelligibility.
5  with audio-only speech that was matched for intelligibility.
6 of noise-vocoded speech, irrespective of its intelligibility.
7 s, which aids in lip reading, yet not speech intelligibility.
8  by background noise, despite reduced speech intelligibility.
9 ti-speaker context and is further related to intelligibility.
10  effort as it relates to multi-talker speech intelligibility.
11 r speech as an 'easy' strategy for improving intelligibility.
12 asures of expressive vocabulary, syntax, and intelligibility.
13 sed by acoustic parameters related to speech intelligibility.
14 uency bands, effectively manipulating speech intelligibility.
15  and before being explicitly informed of its intelligibility.
16 lative importance of the various factors for intelligibility.
17 8% of the variability in multi-talker speech intelligibility.
18  less so in SSN, and (d) age per se impaired intelligibility.
19 h is an important cue contributing to speech intelligibility.
20 at have been found to be critical for speech intelligibility.
21 sking, a property that contributes to speech intelligibility.
22 n of approaches which seek everyday forms of intelligibility.
23 rimination ability is correlated with speech intelligibility.
24 ng was shown to untrained measures of speech intelligibility (11/13 articles), cognition (1/1 article
25  [3, 4], and this entrainment increases with intelligibility [5].
26 nd clear speech-a technique known to enhance intelligibility-across three levels of reverberation.
27                      However, no significant intelligibility advantage was observed for musicians ove
28 and they align with other research reporting intelligibility advantages for speech produced by famili
29 ation level-dependent signal correlated with intelligibility along the superior and middle temporal g
30 signals can lead to an improvement in target intelligibility, an effect known as spatial release from
31                                  Both speech intelligibility and acceptable noise level (ANL) were as
32                           We investigate how intelligibility and acoustical structure affect acoustic
33 eriodic cues of TFS are essential for speech intelligibility and are encoded in auditory neurons by p
34 -0.032, OR 1.08 [1.00-1.17]), worse language intelligibility and fluency (beta -0.032, OR 1.10 [1.02-
35                                  Despite its intelligibility and intuitiveness, the traditional seque
36 ontal operculum in response to poorer speech intelligibility and response errors.
37 local speech rate irregular while preserving intelligibility and the envelope fluctuations of the aco
38 ere was also a positive relationship between intelligibility and the tracking of the perceived speech
39 sounds into words emerges with better speech intelligibility, and most strongly at the later (~400 ms
40  rate of decline in speaking rate and speech intelligibility as a function of disease onset site, sex
41 that (a) cochlear gain loss was unrelated to intelligibility, (b) residual cochlear compression was r
42 hereas the ENV cues are important for speech intelligibility, binaural TFS cues are critical for perc
43 itory cortex, bilaterally, were sensitive to intelligibility but also showed a differential response
44        We compare speech that is matched for intelligibility but differs in putative control demands,
45 0 manipulations resulted in small changes in intelligibility but no difference in free recall or subj
46 ty to sound motion is not affected by speech intelligibility, but shows a clear difference for origin
47             In summary, all factors affected intelligibility, but their relative importance varied ac
48 EHFs; 8 to 20 kHz) that may influence speech intelligibility, but whether that information is used in
49 s on a digit recognition task, improving the intelligibility by 65% over the baseline method which us
50  of noise-vocoding channels required for 50% intelligibility by each participant.
51 cordings, we study neural measures of speech intelligibility by manipulating intelligibility while ke
52 s addressing this question vary the level of intelligibility by manipulating the acoustic waveform, b
53 Perceptual phase entrainment improves speech intelligibility by phase-locking the brain's high-excita
54                                       Speech intelligibility can vary dramatically between individual
55 hreshold, that determines the improvement in intelligibility caused by any given improvement in signa
56 ometric function, that is, the rate at which intelligibility changes with level, been considered.
57 er-based auditory training to improve speech intelligibility, cognition and communication abilities i
58                              Gains in speech intelligibility could be predicted from gameplay accurac
59 ulation Index was used to predict the speech intelligibility curve using a transfer function for CID
60 , the model is applied to predict the speech intelligibility data measured by Marrone et al.
61                                              Intelligibility decreased linearly as the amount of repl
62 ti-dimensional approaches for testing speech intelligibility deficits in listeners with normal-hearin
63 d to contribute to speech discrimination and intelligibility deficits in people with normal audiologi
64 thm outside the natural range reduces speech intelligibility, demonstrating a perceptual tuning to th
65 t clear whether activity reflected effort or intelligibility differences.
66 e modulated by acoustic landmarks and speech intelligibility (Doelling et al., 2014; Zoefel and VanRu
67 o modern perceptually based models of speech intelligibility (e.g., that depend on modulation filter
68 er se was affected: face recognition, speech intelligibility, emotion recognition, and musical abilit
69 lts highlight that STN-DBS may handle speech intelligibility even in the long-term.
70 gh the VGHA has been shown to enhance speech intelligibility for fixed-location, frontal targets, it
71                       In those cases, speech intelligibility for target speech is typically higher th
72 ficult to cleanly disentangle the effects of intelligibility from underlying acoustical confounds.
73                          As expected, speech intelligibility improved with increasing F0 difference b
74 rs from target speech often leads to a large intelligibility improvement.
75 easured data well, even though the predicted intelligibility improvements relative to the colocated c
76 he variance of stimulation-induced change in intelligibility in a leave-one-out analysis.
77  temporal processing was strongly related to intelligibility in a R2TM and much less so in SSN, and (
78 e effect of noise on vocal effort and speech intelligibility in a restaurant setting for adults over
79  fibers for stimulation-induced worsening of intelligibility in a structural connectome.
80 tcome was assessed by measuring aided speech intelligibility in a time-reversed two-talker background
81      Seeing a speaker's face enhances speech intelligibility in adverse environments.
82 at musical training leads to improved speech intelligibility in complex speech or noise backgrounds.
83 Disorder Questionnaire; Family Strain Index; Intelligibility in Context Scale; Vineland Adaptive Beha
84  to predict stimulation-induced worsening of intelligibility in essential tremor patients with bilate
85           Our study demonstrated that speech intelligibility in humans relied on the periodic cues of
86                           We measured speech intelligibility in multi-talker noise with and without v
87 ber of approaches have suggested that speech intelligibility in noise can be improved further by maki
88   This investigation examined whether speech intelligibility in noise can be improved using a new, bi
89  same input, known as diotic hearing, speech intelligibility in noise is improved.
90  significantly improved CI listener's speech intelligibility in noise without compromising the percei
91  younger hearing-aid users with good unaided intelligibility in quiet and with good temporal processi
92 residual cochlear compression was related to intelligibility in SSN but not in a R2TM, (c) temporal p
93      These algorithms not only increased the intelligibility in stationary non-speech noise, but also
94 city have relatively little effect on speech intelligibility in such conditions.
95              Adapting their speech to ensure intelligibility in these varied settings can impose a si
96 ple Input/Output, DSL m[i/o]) for the Speech Intelligibility Index (SII) and high-frequency audibilit
97  combination with the Coherence-based Speech Intelligibility Index, the model is applied to predict t
98  entrainment is strongly reduced when speech intelligibility is abolished by presenting speech/noise
99                                       Speech intelligibility is better predicted by nonlinguistic sen
100      It remains unclear, however, how speech intelligibility is related to the corresponding neural r
101                  Most notably for the lowest intelligibility level, perceptual learning occurred only
102 r trained pairs, improved d' was seen on all intelligibility levels regardless of tDCS intervention.
103 < 120 (w/m) and 32 months based on speech intelligibility &lt; 85% in individuals with ALS-bulbar
104  association between clinical (speaking rate/intelligibility) measures and patient-reported measures
105 py and chemotherapy, quality of life, speech intelligibility (objectively measured), age, sex, educat
106  outcome was the percentage change of speech intelligibility obtained by comparing the postoperative
107 g their remarkable fidelity, we examined the intelligibility of auditory playbacks (i.e., "sonificati
108  speech recognition model to investigate the intelligibility of CI simulations.
109 the presence of background noise, the speech intelligibility of cochlear implant listeners is more su
110 er this depended on speech quality even when intelligibility of degraded speech was matched to that o
111 a more nuanced answer to the question of the intelligibility of delusion becomes possible.
112                          The question of the intelligibility of delusion has recently been addressed
113 tification, word-final /s, z/ detection, the intelligibility of sentences in noise, and subjective be
114 cts of different listening conditions on the intelligibility of speech, their analyses have often con
115  auditory cortex, and this effect depends on intelligibility of speech.
116 ds have mainly been designed to optimize the intelligibility of speech.
117 cephalography while simultaneously measuring intelligibility of spoken sentences amidst two different
118 pop-out" percept, substantially improves the intelligibility of the second degraded speech passage.
119                            Evaluation of the intelligibility of the synthesized speech indicates that
120                           Traditionally, the intelligibility of vocoder CI simulations is assessed th
121 recognition task in an MRI scanner where the intelligibility of words was parametrically varied.
122 ether this depended on the acoustic quality (intelligibility) of the speech.
123 difficult signal-to-noise ratios, but speech intelligibility only decreased at the hardest signal-to-
124 urally occurring asynchronies do not disrupt intelligibility or perceptual coherence.
125 old (OR, 2.30; 95% CI, 1.2-4.4), poor speech intelligibility (OR, 2.26; 95% CI, 1.2-4.3), maternal hi
126 ed a significant acute improvement of speech intelligibility (p < 0.005) in the postoperative assessm
127 hysics, and has been shown to predict speech intelligibility performance in a range of adverse listen
128  frequency, has been shown to predict speech intelligibility performance in a range of adverse listen
129 partially overlapped with areas sensitive to intelligibility, perhaps reflecting attentional modulati
130 ycemic event in each subject, overcoming the intelligibility problem of deep-learning methods.
131 ion to varying degrees to produce a range of intelligibility (quantified as the number of words that
132 ng included determination of SID thresholds, intelligibility ratings, and a fast syllable repetition
133 cted to make further contributions to speech intelligibility (recognition) for the average listener.
134 xertion of effort can be elevated, even when intelligibility remains high.
135                          Multi-talker speech intelligibility requires successful separation of the ta
136 ably, however, voice-hearers showed stronger intelligibility responses than controls in the dorsal an
137 n of error patterns not obtainable with just intelligibility scores, consonant confusions yield uniqu
138 ves some motor components of speech although intelligibility seems to decrease after surgery.
139                                 More distant intelligibility-sensitive regions within the superior an
140                     In the long-term, speech intelligibility stayed at the same level as preoperative
141 d in both sound motion tracking and stimulus intelligibility, suggesting that these processes could b
142                          Increasing stimulus intelligibility systematically increased that bias and r
143 while participants listen and repeat (simple intelligibility task), or listen, repeat, and later reca
144        All participants performed the speech intelligibility tasks with and without an in-ear communi
145                                        Aided intelligibility tended to be better for younger hearing-
146                                              Intelligibility tended to improve by increasing amplific
147 re (0% to 100%) was obtained for each speech intelligibility test.
148 ignals led to larger values of MR and higher intelligibility than obtained with unprocessed signals.
149 r operating characteristic analysis, vocoded intelligibility threshold discriminated Alzheimer's dise
150                    Mean noise-vocoded speech intelligibility threshold was significantly higher in al
151         Associations of noise-vocoded speech intelligibility threshold with general demographic, clin
152            We found that multi-talker speech intelligibility thresholds varied widely in normal heari
153 subjective quality (up to 50%) and objective intelligibility (up to 97%) of speech in noise perceptio
154 subjective quality (up to 50%) and objective intelligibility (up to 97%) of speech perception in nois
155  speed, incoming words must be buffered, and intelligibility vanishes when buffer storage and retriev
156                              Although speech intelligibility varied across condition, there was no ev
157 face elastomeric respirator, the mean speech intelligibility was 58.5% (12.4%) without the in-ear dev
158      While wearing the PAPR, the mean speech intelligibility was 84.6% (9.8%) without the in-ear devi
159 e wearing the N95 mask, the mean (SD) speech intelligibility was 98.8% (1.8%) without the in-ear devi
160 compensate for their audiometric losses, and intelligibility was assessed for speech-shaped noise (SS
161 ch or as "noise-vocoded" speech in which the intelligibility was conveyed only by the speech ENVs fro
162                                       Speech intelligibility was measured using a word recognition ta
163                                     Relative intelligibility was not well accounted for on the basis
164  pattern of results was maintained even when intelligibility was perfect.
165                   The level at which maximal intelligibility was predicted was used as presentation l
166                                         When intelligibility was restored with the insertion of silen
167                                       Speech intelligibility was stable or increasing for 5 patients
168                                       Speech intelligibility was then tested for normal-hearing liste
169                               Whereas speech intelligibility was unchanged after WM training, subject
170 inative for stimulation-induced worsening of intelligibility were mainly connected to the ipsilateral
171 es of speech intelligibility by manipulating intelligibility while keeping the acoustics strictly unc
172 ted with a significant improvement in speech intelligibility while wearing the half-face elastomeric
173  the algorithm significantly enhances speech intelligibility with the selected sparsity constraints.
174 , CND is a prime candidate: it should worsen intelligibility without affecting thresholds and has bee

 
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