Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Emilian-Erman Mahmut"'
Publikováno v:
Applied Medical Informatics, Vol 40, Iss 1-2, Pp 15-23 (2018)
This paper presents a computer model for the assessment of the similarity between two sound patterns, to identify phoneme mispronunciations circumscribed by dyslalic disorders in early school-age children (6-10 year olds). From a linguistic standpoin
Externí odkaz:
https://doaj.org/article/37acd22dbb724a559b2cf088ef0a5a42
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f764f622d1acc898b3bc9467f657f6be
https://doi.org/10.3233/shti220500
https://doi.org/10.3233/shti220500
Publikováno v:
Studies in health technology and informatics. 294
This paper presents a Support-Vector Machine (SVM) based method of classification of cross-correlated phoneme segments as part of the development of an automated Speech Sound Disorder (SSD) Screening tool. The pre-processing stage of the algorithm us
The goal of this paper is to present a word-final target phoneme automated segmentation method based on cross-correlation coefficients computed between a reference sound wave and a sample sound wave. Most existing Speech Sound Disorder (SSD) Screenin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0720c03e1475ee3e85e4d616964e81
https://doi.org/10.3233/shti200709
https://doi.org/10.3233/shti200709
Publikováno v:
Studies in health technology and informatics. 275
The goal of this paper is to present a word-final target phoneme automated segmentation method based on cross-correlation coefficients computed between a reference sound wave and a sample sound wave. Most existing Speech Sound Disorder (SSD) Screenin
Publikováno v:
2020 International Symposium on Electronics and Telecommunications (ISETC).
This paper describes a cross-correlation based method aimed at extracting homogeneously-trimmed target medial phonemes from a reference pronunciation (a word or logatome pronounced by the Speech Language Pathologist (SLP)) and a sample utterance (the
Publikováno v:
Studies in health technology and informatics. 272
This paper presents an audio file segmentation method in an attempt to mitigate the issue of variable durations of the same utterance by different individuals, e.g.: Speech-Language Pathologist (SLP) and dyslalic subjects. The Method section describe
Publikováno v:
Studies in health technology and informatics. 270
This paper presents the current state of progress of a project aimed at achieving an automated information entropy-based discrimination of phoneme mispronunciations in utterances of early school-age children. The introductory part briefly describes t
Publikováno v:
Studies in health technology and informatics. 262
This paper's objective is to present a proposed solution of Computer-based Speech Therapy System (CBST) for dyslalia screening. The problem of Speech Sound Disorders (SSD) is enunciated, and a brief presentation of several general CBST solutions is m
Publikováno v:
Studies in health technology and informatics. 255
This paper makes a brief review of several database structures of Computer-Based Speech Therapy (CBST) systems and solutions and describes the screening method, an experimental study conducted to validate the screening algorithm and a database struct