Results 231 to 240 of about 28,896 (291)

Phoneme Perception in Children With Bilateral Cochlear Implants or Hearing Aids in Quiet, Noise, and Reverberation. [PDF]

Ear Hear
Van Eeckhoutte M, Ardenkjær-Husted R, Zhao C, Dau T.   +3 more
europepmc   +1 more source

Preliminary study of a Digital Brazilian Portuguese Speech Assessment Instrument: validity and reliability of imitation and naming tasks.

Codas
Oliveira EP, Oliveira DDS, Alvaro IDR, Uberti LB, Keske-Soares M, Pagliarin KC.   +5 more
europepmc   +1 more source

Extending standardized speech analysis across languages: An Italian toolkit for transcription and coding of neurological speech. [PDF]

Behav Res Methods
Benzini A, Lanzi AM, Palmirotta C, Aresta S, Battista P, Santi GC.   +5 more
europepmc   +1 more source

Foundational Reading Knowledge of Teachers of Students With IDD: Examining Experience, Degree and Time Use. [PDF]

J Intellect Disabil Res
Lindström ER, McFadden KA, Fu Q, Ruiz MJ.   +3 more
europepmc   +1 more source

Impact of syllabic constraints on error production in Korean speech: a study of serial order control with practice. [PDF]

Front Psychol
Kim S, Saito S, Nam K.
europepmc   +1 more source

Shared latent representations of speech production for cross-patient speech decoding. [PDF]

Nat Commun
Spalding Z, Duraivel S, Rahimpour S, Wang C, Barth K, Schmitz C, Lad SP, Friedman AH, Southwell DG, Viventi J, Cogan GB.   +10 more
europepmc   +1 more source

Speech Sound Acquisition in Urdu-Speaking Children.

Folia Phoniatr Logop
Ambreen S, To CKS.
europepmc   +1 more source

Decoding Single and Paired Phonemes Using 7T Functional MRI [PDF]

Brain Topography
Several studies have shown that mouth movements related to the pronunciation of individual phonemes are represented in the sensorimotor cortex. This would theoretically allow for brain computer interfaces that are capable of decoding continuous speech by
Mathijs Raemaekers
exaly   +1 more source

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Phoneme recognition by phoneme filter neural networks

[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991
A phoneme filter neural network (PFN) approach to vowel recognition is described. The PFN is a multilayer neural network with fewer hidden units than input units prepared for each of the phoneme categories. Each network is trained as identity mapping by speech data belonging to one phoneme category.
Masami Nakamura, Shinichi Tamura, Shigeki Sagayama   +2 more
openaire   +2 more sources

Bonded Phonemes or How Phonemic are the Phonemes?

Journal of Quantitative Linguistics, 2001
It is a well-known fact that the members of a set of traditional phonemes, which by definition serve to distinguish the two members of a minimal pair (such as a ?/ i: in bite/beat), may occasionally be used interchangeably without any semantic consequences (as a ?/ i: in either). Phonemes that can alternate in this way are arguably more closely related
openaire   +1 more source