2014
DOI: 10.1121/1.4896410
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Speech intelligibility estimation using multi-resolution spectral features for speakers undergoing cancer treatment

Abstract: Head and neck cancer can significantly hamper speech production which often reduces speech intelligibility. A method of extracting spectral features is presented. The method uses a multi-resolution sinusoidal transform scheme, which enables better representation of spectral and harmonic characteristics. Regression methods were used to predict interval-scaled intelligibility scores of utterances in the NKI-CCRT speech corpus. The inclusion of these features lowered the mean squared estimation error from 0.43 to… Show more

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Cited by 7 publications
(16 citation statements)
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“…Among the 22 studies, 10 include more than 20 patients, and also 10 include between 2 and 18 subjects . Two articles do not report the number of subjects involved in the acoustic analysis .…”
Section: Resultsmentioning
confidence: 99%
See 4 more Smart Citations
“…Among the 22 studies, 10 include more than 20 patients, and also 10 include between 2 and 18 subjects . Two articles do not report the number of subjects involved in the acoustic analysis .…”
Section: Resultsmentioning
confidence: 99%
“…Six studies (27%) include both patients treated for cancer of the oral cavity and patients treated for oropharynx cancer …”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations