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Objective Voice and Speech Analysis of Persons with Chronic Hoarseness by Prosodic Analysis of Speech Samples

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43927768" target="_blank" >RIV/49777513:23520/15:43927768 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.3109/14015439.2015.1019563" target="_blank" >http://dx.doi.org/10.3109/14015439.2015.1019563</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3109/14015439.2015.1019563" target="_blank" >10.3109/14015439.2015.1019563</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Objective Voice and Speech Analysis of Persons with Chronic Hoarseness by Prosodic Analysis of Speech Samples

  • Original language description

    Automatic voice assessment is often performed using sustained vowels. In contrast, speech analysis of read-out texts can be applied to voice and speech assessment. Automatic speech recognition and prosodic analysis were used to find regression formulae between automatic and perceptual assessment of four voice and four speech criteria. The regression was trained with 21 men and 62 women (average age 49.2 years) and tested with another set of 24 men and 49 women (48.3 years), all suffering from chronic hoarseness. They read the text 'Der Nordwind und die Sonne' ('The North Wind and the Sun'). Five voice and speech therapists evaluated the data on 5-point Likert scales. Ten prosodic and recognition accuracy measures (features) were identified which describe all the examined criteria. Inter-rater correlation within the expert group was between r = 0.63 for the criterion 'match of breath and sense units' and r = 0.87 for the overall voice quality. Human-machine correlation was between r = 0.40 for the match of breath and sense units and r = 0.82 for intelligibility. The perceptual ratings of different criteria were highly correlated with each other. Likewise, the feature sets modeling the criteria were very similar. The automatic method is suitable for assessing chronic hoarseness in general and for subgroups of functional and organic dysphonia. In its current version, it is almost as reliable as a randomly picked rater from a group of voice and speech therapists.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Logopedics Phoniatrics Vocology

  • ISSN

    1651-2022

  • e-ISSN

  • Volume of the periodical

    41

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    106-116

  • UT code for WoS article

    000379958300003

  • EID of the result in the Scopus database

    2-s2.0-84977579741