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Harmonics-to-noise ratio estimation with deterministically time-varying harmonic model for pathological voice signals.
Ikuma, Takeshi; Story, Brad; McWhorter, Andrew J; Adkins, Lacey; Kunduk, Melda.
Affiliation
  • Ikuma T; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana 70112, USA.
  • Story B; Department of Speech, Language, and Hearing Sciences, University of Arizona, Tucson, Arizona 85721, USA.
  • McWhorter AJ; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana 70112, USA.
  • Adkins L; Department of Otolaryngology-Head and Neck Surgery, Louisiana State University Health Sciences Center, New Orleans, Louisiana 70112, USA.
  • Kunduk M; Department of Communication Disorders, Louisiana State University, Baton Rouge, Louisiana 70803, USA.
J Acoust Soc Am ; 152(3): 1783, 2022 09.
Article in En | MEDLINE | ID: mdl-36182331
The harmonics-to-noise ratio (HNR) and other spectral noise parameters are important in clinical objective voice assessment as they could indicate the presence of nonharmonic phenomena, which are tied to the perception of hoarseness or breathiness. Existing HNR estimators are built on the voice signals to be nearly periodic (fixed over a short period), although voice pathology could induce involuntary slow modulation to void this assumption. This paper proposes the use of a deterministically time-varying harmonic model to improve the HNR measurements. To estimate the time-varying model, a two-stage iterative least squares algorithm is proposed to reduce model overfitting. The efficacy of the proposed HNR estimator is demonstrated with synthetic signals, simulated tremor signals, and recorded acoustic signals. Results indicate that the proposed algorithm can produce consistent HNR measures as the extent and rate of tremor are varied.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tremor / Voice Limits: Humans Language: En Journal: J Acoust Soc Am Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Tremor / Voice Limits: Humans Language: En Journal: J Acoust Soc Am Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States