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Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments
(2021-07-01)
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in ...
Statistical speech segmentation in tone languages: the role of lexical tones
(Sage Publications, 2018)
Research has demonstrated distinct roles for consonants and vowels in speech processing. For example, consonants have been shown to support lexical processes, such as the segmentation of speech based on transitional ...
Conversor texto a voz en el dialecto venezolano por medio de la concatenación de difonos
(Ciencia e Ingeniería, 2010)
Investigating the neural correlates of continuous speech computation with frequency-tagged neuroelectric responses
(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2009)
In order to learn an oral language, humans have to discover words from a continuous signal. Streams of artificial monotonous speech can be readily segmented based on the statistical analysis of the syllables' distribution. ...
Automatic speech-to-text transcription in an ecuadorian radio broadcast context
(SPRINGER VERLAG, 2017-09-19)
A key element to enable the analysis and accessing to radio broadcast content is the development of automatic speech-to-text systems. The building of these systems has been possible given the current available of different ...
Investigating the neural correlates of continuous speech computation with frequency-tagged neuroelectric responses
(2009)
In order to learn an oral language, humans have to discover words from a continuous signal. Streams of artificial monotonous speech can be readily segmented based on the statistical analysis of the syllables' distribution. ...
Automatic speech-to-text transcription in an ecuadorian radio broadcast context
(SPRINGER VERLAG, 2018)