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1 ficulties in processing speech sounds (i.e., phonemes).
2 etters (graphemes) into these speech sounds (phonemes).
3 elements (for example, low-level features or phonemes).
4 100 ms) versus sound structure (for example, phonemes).
5 t frontal region only reacted to a change of phoneme.
6 ormation about the likelihood of the missing phoneme.
7 re integrated to recover the identity of the phoneme.
8 r phoneme matched the content of the audible phoneme.
9 ech is perceived by the robot as a stream of phonemes.
10 ch as "ch" or "ou" in order to map them onto phonemes.
11 repeated presentation of 12 American English phonemes.
12 ween brain and perceptual representations of phonemes.
13 by linguistically defined concepts, such as phonemes.
14 essfully recognize brain processing of these phonemes.
15 ive features in the neural representation of phonemes.
16 late laryngeal harmonics to create different phonemes.
17 jects listened to the lip- or tongue-related phonemes.
18 pectrotemporal characteristics of individual phonemes.
19 nd have difficulty converting graphemes into phonemes.
20 ness and the ability to convert graphemes to phonemes.
21 to anticipate upcoming concepts, words, and phonemes.
22 ntence-level constraints to predict upcoming phonemes.
23 expense of the ability to process non-native phonemes.
24 SMS during perception of noise-impoverished phonemes.
25 it might also indicate preference for native phonemes.
26 iscrimination of important features, such as phonemes.
27 e; at the same time, even early responses to phonemes also reflect a unified model that incorporates
28 se in mouth opening and modification of some phonemes although lip closure was still possible allowin
29 n communication at timescales even below the phoneme and finding yet another link between complexity
32 tion (mismatch negativity; MMN) responses to phoneme and tone changes in sequences of syllables using
34 nse in the boundary region between different phonemes and argue for a specific amplification mechanis
35 examined the perception of continua between phonemes and demonstrated sharp discontinuities consiste
37 rhood frequencies, word lengths by number of phonemes and graphemes, and spoken-word frequencies.
39 to read 2 sets of 24 novel words that shared phonemes and semantic categories but were written in dif
42 any languages there are associations between phonemes and the expression of size (e.g. large /a, o/,
43 usion (either matched or mismatched pairs of phonemes and visemes) with varying degrees of stimulus o
46 h incongruent lip-voice pairs evoke illusory phonemes), and also identification of degraded speech, w
47 both how speech sounds are categorized into phonemes, and how different versions of phonemes are pro
48 xplicitly encodes the acoustic similarity of phonemes, and linguistic and nonlinguistic information a
50 yrus) was greater in response to substituted phonemes, and, critically, this was not attenuated by ex
51 hese representations are active earlier when phonemes are more predictable, and are sustained longer
52 These results reveal that vSMC activity for phonemes are not invariant and provide insight into the
53 ns lose genetic diversity via genetic drift, phonemes are not subject to drift in the same way: withi
56 e, we demonstrate the causal efficacy of the phoneme as a unit of analysis and dissociate the unique
58 ke context invariant speech categories (e.g. phonemes) as an intermediary representational stage betw
59 ns who are unable to convert graph-emes into phonemes, as well as positron emission tomographic studi
60 ment by studying the response to a change of phoneme at a native and nonnative phonetic boundary in f
62 e mismatch response to a nonnative change of phoneme at the end of the first year of life was depende
63 hographic coding, phonological decoding, and phoneme awareness were individually subjected to QTL ana
64 d orthographic skills and is not specific to phoneme awareness, as has been previously suggested.
65 in which the strongest evidence came from a phoneme-awareness measure (most significant P value=0.00
66 ond, discrimination responses to a change of phoneme (ba vs. ga) and a change of human voice (male vs
67 erived from acoustic time series, as well as phoneme-based and standard acoustic features extracted f
70 ical phonemic processing not only for single phonemes but also for short combinations made of diphone
71 es performance on novel words using the same phonemes but with different acoustic patterns, demonstra
72 esentation of individual segmental units, or phonemes, but the bulk of evidence comes from speakers o
79 ty in left PMC that correlated with explicit phoneme-categorization performance measured after scanni
82 continuum but diverted their attention from phoneme category using a challenging dichotic listening
86 also observed in languages where a specific phoneme changes to the same other phoneme in many words
88 ostoperative) in Consonant-Nucleus-Consonant phonemes (CNCp) and words (CNCw), AzBio sentences in qui
93 ft inferior frontal lobe because grapheme-to-phoneme conversion requires activation of these motor-ar
94 and, pseudo-words, which require grapheme-to-phoneme conversion, are not predicted by the connection
96 Fifteen healthy human subjects performed a phoneme detection task in pseudo-words and a semantic ca
98 n noise, envelope expansion improved overall phoneme discrimination by 9.6%, with no difference in be
99 days after surgery, patients showed improved phoneme discrimination compared with their performance s
100 emphasise dominant spectral features.Tactile phoneme discrimination on the wrist was tested in 26 par
101 with normal touch sensitivity, tactile-only phoneme discrimination was assessed with one, four, or e
102 s with normal touch perception, tactile-only phoneme discrimination with and without envelope expansi
106 Language testing included speech sound (phoneme) discrimination, single word and phrasal compreh
108 antly more likely to contain larger sounding phonemes (e.g. "Thomas"), while female names are signifi
112 tream into candidate phrases, syllables, and phonemes for further linguistic processing-is executed b
113 bout the articulatory features of individual phonemes has an important role in their perception and i
116 The superior NH performance on measures of phoneme identification, especially in the presence of ba
120 a specific phoneme changes to the same other phoneme in many words in the lexicon-a phenomenon known
124 coughs replacing high versus low probability phonemes in sentential words differed from each other as
125 ical phoneme sequences, and one based on the phonemes in the current word alone; at the same time, ev
130 its representations of incompatible auditory phonemes, increasing perceptual accuracy and decreasing
133 ctivation associated with the integration of phonemes into temporally complex patterns (i.e., words)
136 usly variable acoustic signals into discrete phonemes is a fundamental feature of speech communicatio
137 elopment from infants' earliest responses to phonemes is reflected in infants' language abilities in
138 to retain and repeat unfamiliar sequences of phonemes is usually impaired in children with specific l
139 rocessing of short-timescale patterns (i.e., phonemes) is consistently localized to left mid-superior
140 hat early auditory regions seem to represent phoneme-level cross-linguistic information, contrary to
141 c story-listening to investigate (1) whether phoneme-level features are tracked over and above acoust
142 aints, impacted the encoding of acoustic and phoneme-level features, and (3) whether the tracking of
144 We first show that encoding models with phoneme-level linguistic features, in addition to acoust
146 syllabic rhythm and temporally organize the phoneme-level response of gamma neurons into a code that
147 tic element at a single position generates a phoneme-like contrast that is sufficient to distinguish
148 d and the decoding of phoneme subgroups from phoneme-locked responses, can be explained by an encodin
150 , specifically learning alphabetic letter-to-phoneme mappings, modifies online speech processing and
151 ession, but only if the content of the inner phoneme matched the content of the audible phoneme.
152 avioural deficit in processing mispronounced phonemes may be due to a disruption to the typical excha
159 We show that the neural tracking of word and phoneme onsets and word level linguistic features in the
160 ake place at the level of single grapheme or phoneme or syllable, but rather, at the lexical level.
166 h-level (word) predictions inform low-level (phoneme) predictions, supporting hierarchical predictive
169 omenon of coarticulation (differentiation of phoneme production depending on the preceding or followi
170 e combination with natural categories (e.g., phonemes), providing qualitative evidence that human obs
171 ing children, hemispheric specialization for phoneme rate modulation processing may still be developi
172 c specialization for processing syllable and phoneme rate modulations in preliterate children may rev
173 n cortical evoked potentials to syllable and phoneme rate modulations were measured in 5-year-old chi
174 rate modulations and a symmetric pattern for phoneme rate modulations, regardless of hereditary risk
176 re that (a) focused stimulation will improve phoneme recognition and (b) speech perception will impro
177 ase; and (c) speech tests including filtered phoneme recognition and speech-in-noise recognition.
178 ned with recent findings in segmental (e.g., phoneme) recognition, the current results provide the ba
180 between left-biased cortical oscillations in phoneme-relevant frequencies and speech-in-noise percept
183 Whereas naming latencies were unaffected by phoneme repetition, ERP responses were modulated from 20
184 to the tendency for people to hallucinate a phoneme replaced by a non-speech sound (e.g., a tone) in
185 to the word-VOTC, as we found viseme but not phoneme representation in adjacent FFA, while PPA did no
188 rtion of Broca's area performs operations on phoneme segments specifically or implements processes ge
190 suggesting that text may be converted into a phoneme sequence for speech initiation and production re
194 ly neural responses, one based on sublexical phoneme sequences, and one based on the phonemes in the
195 nth-olds, 12-month-olds' responses to native phonemes showed smaller and faster phase synchronization
197 aphic history has left similar signatures on phonemes-sound units that distinguish meaning between wo
198 iate pattern classification of corresponding phonemes (speech sounds) and visemes (lip movements).
199 linguistic trees predicts similar ancestral phoneme states to those predicted from ancient sources.
200 ic contrasts represent a rudimentary form of phoneme structure and a potential early step towards the
201 c features were combined and the decoding of phoneme subgroups from phoneme-locked responses, can be
202 tion depending on the preceding or following phonemes) suggests an organization of movement sequences
206 lose language pairs share significantly more phonemes than distant language pairs, whether or not the
209 effects on vSMC representations of produced phonemes that suggest active control of coarticulation:
210 o further sentences (variable in content and phonemes), the similarity scores were significantly wors
211 he context of categories such as objects and phonemes, thereby requiring a solution to the cue combin
213 e scales, ranging from short-duration (e.g., phonemes) to long-duration cues (e.g., syllables, prosod
214 ons conveyed by speech -speaker identity and phonemes- to examine (1) whether neonates can compute TP
215 g study, participants identified one of four phoneme tokens (/ba/, /ma/, /da/, or /ta/) under one of
216 teractions among abstract categorical (i.e., phonemes/visemes) or amodal (e.g., articulatory) speech
219 tory system is specialized for processing of phonemes, whereas the right is specialized for processin
220 ements to generate individual speech sounds (phonemes) which, in turn, are rapidly organized into com
224 d however observe a left posterior effect of phoneme/word probability around 192-224 ms-clear evidenc
226 a continuously varying acoustic signal into phonemes, words, and meaning, and these levels all have