Results 91 to 100 of about 10,682 (209)

Case Report: Report of a Persian-Speaking Patient with Foreign Accent Syndrome

open access: yesJournal of Rehabilitation, 2009
Foreign Accent Syndrome (FAS) is a rare speech disorder that occurs as a consequence of the left hemisphere lesions. This syndrome is usually manifested by a combination of segmental & suprasegmental deviations in production.
Robab Teimori   +3 more
doaj  

The effect of metacognitive strategy instruction on L2 learner beliefs and listening skills [PDF]

open access: yes, 2016
This pilot study investigated the effect of semester-long strategy-based instruction on learner beliefs and skills in the processing of aural input by adult learners of English as a second language at metacognitive and procedural levels.
Harbaugh, Allen G.   +2 more
core  

Capturing Suprasegmental Features of a Voice with RNNs for Improved Speaker Clustering [PDF]

open access: yes, 2018
Deep neural networks have become a veritable alternative to classic speaker recognition and clustering methods in recent years. However, while the speech signal clearly is a time series, and despite the body of literature on the benefits of prosodic (suprasegmental) features, identifying voices has usually not been approached with sequence learning ...
Stadelmann, Thilo   +3 more
openaire   +1 more source

Segmental and suprasegmental change in North West Yorkshire – a new case of supralocalisation ?

open access: yesCorela, 2018
A number of phonetic and phonological changes have lately been observed in most geographical varieties of British English (e.g. Trudgill 1986 ; Foulkes & Docherty 1999 ; Britain 2002b ; Kerswill 2003 ; Stuart-Smith et al. 2004, 2007).
Stephan Wilhelm
doaj   +1 more source

Cross-linguistic perception of pitch of Chinese dyslexic children [PDF]

open access: yes, 2013
This study examined the relationship between perception of basic auditory processing measures, detection of suprasegmental features and bilingual literacy among Hong Kong children with and without reading difficulties.
Fung, King-yiu, 馮景耀
core  

Speech Emotion Recognition Method Based on Support Vector Machine and Suprasegmental Acoustic Features

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники
The problem of recognizing emotions in a speech signal using mel-frequency cepstral coefficients using a classifier based on the support vector machine has been studied. The RAVDESS data set was used in the experiments.
D. V. Krasnoproshin, M. I. Vashkevich
doaj   +1 more source

Language identification with suprasegmental cues: A study based on speech resynthesis [PDF]

open access: yes, 1999
This paper proposes a new experimental paradigm to explore the discriminability of languages, a question which is crucial to the child born in a bilingual environment.
Mehler, Jacques, Ramus, Franck
core  

Playing with the suprasegmental features of speech, musicality and movement [PDF]

open access: yesNordic Journal of Music Therapy, 2016
Background: Our spoken language is inevitably linked to music. This can be seen in the suprasegmental features of the speech because prosody is defined as changes in voice and rhythm of speech. Therefore, it is possible to establish a clear analogy between speech and musicality.Objective: This workshop aims to explore the different possibilities of the
openaire   +1 more source

LINGUISTIC AND ACOUSTIC RESOURCES OF THE COMPUTER-BASED SYSTEM FOR ANALYSIS AND INTERPRETATION OF SPEECH INTONATION

open access: yesСистемный анализ и прикладная информатика, 2018
This article describes a novel approach to discriminating native and nonnative utterances based on suprasegmental features that constitute the intonation of the syntagma.
Yu. A. Zdaranok
doaj   +1 more source

Two-pass decision tree construction for unsupervised adaptation of HMM-based synthesis models [PDF]

open access: yes, 2009
Hidden Markov model (HMM) -based speech synthesis systems possess several advantages over concatenative synthesis systems. One such advantage is the relative ease with which HMM-based systems are adapted to speakers not present in the training dataset ...
Gibson, Matthew
core   +1 more source

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