Results 31 to 40 of about 19,125,289 (344)
State-of-the-art on monolingual lexicography for Greece (EL)
The authors report on a recent survey on monolingual dictionaries available on the Greek market. General dictionaries outnumber spelling and educational ones and enjoy a prestigious status.
Stella Markantonatou, Voula Giouli
doaj +1 more source
Multi-channel spectrograms for speech processing applications using deep learning methods
Time–frequency representations of the speech signals provide dynamic information about how the frequency component changes with time. In order to process this information, deep learning models with convolution layers can be used to obtain feature maps ...
T. Arias-Vergara +9 more
semanticscholar +1 more source
Effects of noise suppression and envelope dynamic range compression on the intelligibility of vocoded sentences for a tonal language [PDF]
Vocoder simulation studies have suggested that the carrier signal type employed affects the intelligibility of vocoded speech. The present work further assessed how carrier signal type interacts with additional signal processing, namely, single-channel ...
Chen F. +6 more
core +2 more sources
Temporal order processing of syllables in the left parietal lobe [PDF]
Speech processing requires the temporal parsing of syllable order. Individuals suffering from posterior left hemisphere brain injury often exhibit temporal processing deficits as well as language deficits.
Baker, Julie M. +4 more
core +2 more sources
In this paper, we touch upon the requirement for accessibility via Sign Language as regards dynamic composition and exchange of new content in the context of natural language-based human interaction, and also the accessibility of web services and ...
Eleni Efthimiou +5 more
doaj +1 more source
Can children with speech difficulties process an unfamiliar accent? [PDF]
This study explores the hypothesis that children identified as having phonological processing problems may have particular difficulty in processing a different accent. Children with speech difficulties (n = 18) were compared with matched controls on four
Nathan, L., Wells, B.
core +1 more source
Application of Tensor Train Decomposition in S2VT Model for Sign Language Recognition
Sign language recognition is a conversion of sign language into text or speech, bridging the communication between the hearing and society. Recently, sequence-to-sequence video to text (S2VT) models has been employed in the field of sign language ...
Biao Xu, Shiliang Huang, Zhongfu Ye
doaj +1 more source
In this paper, we present a new supervised speech enhancement approach based on the cooperative structure of deep autoencoders (DAEs) as generative models and deep neural networks (DNN).
Matin Pashaian +2 more
doaj +1 more source
Predicting future reading problems based on pre-reading auditory measures: a longitudinal study of children with a familial risk of dyslexia [PDF]
Purpose: This longitudinal study examines measures of temporal auditory processing in pre-reading children with a family risk of dyslexia. Specifically, it attempts to ascertain whether pre-reading auditory processing, speech perception, and ...
Ghesquière, Pol +3 more
core +1 more source
Robust Speaker Recognition Using Speech Enhancement And Attention Model [PDF]
In this paper, a novel architecture for speaker recognition is proposed by cascading speech enhancement and speaker processing. Its aim is to improve speaker recognition performance when speech signals are corrupted by noise.
Hain, Thomas, Huang, Qiang, Shi, Yanpei
core +2 more sources

