Results 31 to 40 of about 10,689,404 (277)

Dysarthric speech classification using glottal features computed from non-words, words and sentences

open access: yes, 2018
Dysarthria is a neuro-motor disorder resulting from the disruption of normal activity in speech production leading to slow, slurred and imprecise (low intelligible) speech.
Narendra N P   +3 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

The relationship between acoustic indices of speech motor control variability and other measures of speech performance in dysarthria [PDF]

open access: yes, 2012
Previous studies suggested that variability indices based on information extracted from the acoustic signal are potentially useful in assessing dysarthric speech.
Van Brenk, Frits, Lowit, Anja
core   +3 more sources

Sparse Transcription

open access: yesComputational Linguistics, 2021
The transcription bottleneck is often cited as a major obstacle for efforts to document the world’s endangered languages and supply them with language technologies.
Steven Bird
doaj   +1 more source

Wavelets for intonation modeling in HMM speech synthesis [PDF]

open access: yes, 2013
The pitch contour in speech contains information about different linguistic units at several distinct temporal scales. At the finest level, the microprosodic cues are purely segmental in nature, whereas in the coarser time scales, lexical tones, word ...
Suni, Antti Santeri   +5 more
core  

End-to-End Optimization of Source Models for Speech and Audio Coding Using a Machine Learning Framework

open access: yes, 2019
Speech coding is the most commonly used application of speech processing. Accumulated layers of improvements have however made codecs so complex that optimization of individual modules becomes increasingly difficult. This work introduces machine learning
Bäckström, Tom, Tom Bäckström
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

open access: yesFEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang   +2 more
wiley   +1 more source

Epigenetic reprogramming of lineage switching in cancer

open access: yesFEBS Letters, EarlyView.
Cancer cells rarely commit to a single identity. Epigenetic mechanisms and tumor microenvironment cues push epithelial cells toward flexible, hybrid states that can shift into mesenchymal, neuroendocrine, or stem‐like fates, driving metastasis, drug resistance, and tumor heterogeneity. Targeting the epigenetic regulators behind these transitions, using
Ezgi Boyvatlı   +4 more
wiley   +1 more source

A Helium Speech Correction Method Based on Generative Adversarial Networks

open access: yesBig Data and Cognitive Computing
The distortion of helium speech caused by helium−oxygen gas mixtures significantly impacts the safety and communication efficiency of saturation divers.
Hongjun Li   +3 more
doaj   +1 more source

Super-Wideband Spectral Envelope Modeling for Speech Coding

open access: yes, 2019
Significant improvements in the quality of speech coders have been achieved by widening the coded frequency range from narrowband to wideband. However, existing speech coders still employ a limited band source-filter model extended by parametric coding ...
Fuchs, Guillaume   +5 more
core   +1 more source

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