title: The effectiveness of the glottal to noise excitation ratio for the screening of voice disorders.
abstract: This paper evaluates the capabilities of the Glottal to Noise Excitation Ratio for the screening of voice disorders. A lot of effort has been made using this parameter to evaluate voice quality, but there do not exist any studies that evaluate the discrimination capabilities of this acoustic parameter to classify between normal and pathological voices, and neither are there any previous studies that reflect the normative values that could be used for screening purposes. A set of 226 speakers (53 normal and 173 pathological) taken from a voice disorders database were used to evaluate the usefulness of this parameter for discriminating normal and pathological voices. To evaluate this parameter, the effect of the bandwidth of the Hilbert envelopes and the frequency shift have been analyzed, concluding that a good discrimination is obtained with a bandwidth of 1000 Hz and a frequency shift of 300 Hz. The results confirm that the Glottal to Noise Excitation Ratio provides reliable measurements in terms of discrimination among normal and pathological voices, comparable to other classical long-term noise measurements found in the literature, such as Normalized Noise Energy or Harmonics to Noise Ratio, so this parameter can be considered a good choice for screening purposes.
authors.affiliation: Department of Circuits & Systems Engineering, Universidad Politécnica de Madrid, Madrid, Spain. igodino@ics.upm.es
authors.forename: Juan Ignacio
authors.initials: JI
authors.lastname: Godino-Llorente
authors.forename: Víctor
authors.initials: V
authors.lastname: Osma-Ruiz
authors.forename: Nicolás
authors.initials: N
authors.lastname: Sáenz-Lechón
authors.forename: Pedro
authors.initials: P
authors.lastname: Gómez-Vilda
authors.forename: Manuel
authors.initials: M
authors.lastname: Blanco-Velasco
authors.forename: Fernando
authors.initials: F
authors.lastname: Cruz-Roldán
mesh_terms: D000328:Adult; D000465:Algorithms; D019540:Area Under Curve; D019992:Databases as Topic; D005260:Female; D005931:Glottis / Q000503:physiopathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009622:Noise; D012372:ROC Curve; D012727:Sex Characteristics; D013061:Speech Acoustics; D014831:Voice; D014832:Voice Disorders / Q000175:diagnosis* / Q000503:physiopathology*; D055815:Young Adult