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Acquisition of speech accuracy of sentences in children with cochlear implant
(Pontificia Univ Catolica Peru, 2020-01-01)
Speech accuracy is an indicator for evaluating the language of children with cochlear implant (CI). Verifying the teaching that increases this accuracy and how efficiency measures can be adopted are relevant questions. The ...
Feature optimisation for stress recognition in speech
(Elsevier Science, 2016-07)
Mel-frequency cepstral coefficients introduced biologically-inspired features into speech technology, becoming the most commonly used representation for speech, speaker and emotion recognition, and even for applications ...
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 ...
Improving oral sentence production in children with cochlear implants: effects of equivalence-based instruction and matrix training
(BioMed Central, 2018)
Abstract
ᅟ
Children who use cochlear implants (CI) and who are readers usually produce more accurate speech in response to text than to pictures. Equivalence-based instruction ...
Improving oral sentence production in children with cochlear implants: effects of equivalence-based instruction and matrix training
(2018-12-01)
ᅟ: Children who use cochlear implants (CI) and who are readers usually produce more accurate speech in response to text than to pictures. Equivalence-based instruction (EBI) can be a route to establish functional interdependence ...
MAP speaker adaptation of state duration distributions for speech recognition
(2002)
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, namely analysis and modeling of state ...
A Window into the Intoxicated Mind? : speech as an Index of Psychoactive Drug Effects
(Nature Publishing Group, 2014-04)
Abused drugs can profoundly alter mental states in ways that may motivate drug use. These effects are usually assessed with self-report, an approach that is vulnerable to biases. Analyzing speech during intoxication may ...
An immunological approach based on the negative selection algorithm for real noise classification in speech signals
(2017-02-01)
This paper presents a new approach to detect and classify background noise in speech sentences based on the negative selection algorithm and dual-tree complex wavelet transform. The energy of the complex wavelet coefficients ...