Results 291 to 300 of about 227,499 (372)

Feature attention and accent recognition: human listeners' responses to five Northern English accents. [PDF]

Front Psychol
Montgomery C, Vriesendorp H, Walker G.
europepmc   +1 more source

Vowel Harmony in Bale : A study of ATR harmony in a Surmic language of Ethiopia

, 2009
Mirjam Möller
openalex   +1 more source

Left hemisphere lateralization in unilateral upper motor neuron dysarthria via quantitative acoustic analysis. [PDF]

Sci Rep
Cao Y, Cheng Y, Liu S, Mou Z.
europepmc   +1 more source

Through the Speech and Vocal Signals Hidden Secrets: An Explainable Methodology for Neurological Diseases Early Detection. [PDF]

J Healthc Inform Res
Vizza P, Di Ponio A, Timpano G, Bossio RB, Tradigo G, Pozzi G, Guzzi PH, Veltri P.   +7 more
europepmc   +1 more source

Dynamic Assessment of Fine Motor Control and Vocalization in Parkinson Disease Through a Smartphone App: Cross-Sectional Study of Time-Severity Interaction Effects.

JMIR Mhealth Uhealth
Myong Y, Yun SJ, Park K, Oh BM, Seo HG.
europepmc   +1 more source

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Does Vowel Inventory Density Affect Vowel-to-Vowel Coarticulation?

Language and Speech, 2012
This study tests the output constraints hypothesis that languages with a crowded phonemic vowel space would allow less vowel-to-vowel coarticulation than languages with a sparser vowel space to avoid perceptual confusion. Mandarin has fewer vowel phonemes than Cantonese, but their allophonic vowel spaces are similarly crowded.
P. Mok
openaire   +3 more sources

Vowel Features

Language, 1978
M. Lindau
openaire   +2 more sources

Vowel recognition with four coupled spin-torque nano-oscillators

Nature, 2017
In recent years, artificial neural networks have become the flagship algorithm of artificial intelligence1. In these systems, neuron activation functions are static, and computing is achieved through standard arithmetic operations.
M. Romera, P. Talatchian, S. Tsunegi, Flavio Abreu Araujo, V. Cros, P. Bortolotti, J. Trastoy, K. Yakushiji, A. Fukushima, H. Kubota, S. Yuasa, M. Ernoult, D. Vodenicarevic, T. Hirtzlin, N. Locatelli, D. Querlioz, J. Grollier   +16 more
semanticscholar   +1 more source

Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions

IEEE Transactions on Affective Computing, 2019
In this work, a novel region switching based classification method is proposed for speech emotion classification using vowel-like regions (VLRs) and non-vowel-like regions (non-VLRs).
S. Deb, S. Dandapat
semanticscholar   +1 more source