Modulation Spectra Morphological Parameters: A New Method to Assess Voice Pathologies according to the GRBAS Scale.
Disordered voices are frequently assessed by speech pathologists using perceptual evaluations. This might lead to problems caused by the subjective nature of the process and due to the influence of external factors which compromise the quality of the assessment. In order to increase the reliability...
| Published in: | BioMed Research International Vol. 2015; pp. 1 - 14 |
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| Main Authors: | , , , |
| Format: | equations & formulas research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
10/18/2015
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=128637944&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 128637944 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 10/18/2015 vid: 2015 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 128637944 128637944 128637944 10.1155/2015/259239 128637944 ppf: 1 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Modulation Spectra Morphological Parameters: A New Method to Assess Voice Pathologies according to the GRBAS Scale. aug: au: Moro-Velázquez, Laureano Gómez-García, Jorge Andrés Godino-Llorente, Juan Ignacio Andrade-Miranda, Gustavo affil: ETSIST, Universidad Politécnica de Madrid, Campus Sur, Carretera de Valencia km 7, 28031 Madrid, Spain sug: subj: Signal Processing, Computer Assisted Sound Spectrography Methods Voice Disorders Classification Voice Disorders Diagnosis Human Reproducibility of Results Voice Scales Speech ab: Disordered voices are frequently assessed by speech pathologists using perceptual evaluations. This might lead to problems caused by the subjective nature of the process and due to the influence of external factors which compromise the quality of the assessment. In order to increase the reliability of the evaluations, the design of automatic evaluation systems is desirable. With that in mind, this paper presents an automatic system which assesses the Grade and Roughness level of the speech according to the GRBAS perceptual scale. Two parameterization methods are used: one based on the classic Mel-Frequency Cepstral Coefficients, which has already been used successfully in previous works, and other derived from modulation spectra. For the latter, a new group of parameters has been proposed, named Modulation Spectra Morphological Parameters: MSC, DRB, LMR, MSH, MSW, CIL, PALA, and RALA. In methodology, PCA and LDA are employed to reduce the dimensionality of feature space, and GMM classifiers to evaluate the ability of the proposed features on distinguishing the different levels. Efficiencies of 81.6% and 84.7% are obtained for Grade and Roughness, respectively, using modulation spectra parameters, whileMFCCs performed 80.5% and 77.7%.Theobtained results suggest the usefulness of the proposedModulation SpectraMorphological Parameters for automatic evaluation of Grade and Roughness in the speech. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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