Literature DB >> 31929763

OBJECTIVE MEASURES OF PLOSIVE NASALIZATION IN HYPERNASAL SPEECH.

Michael Saxon1, Julie Liss2, Visar Berisha1,2.   

Abstract

Hypernasal speech is a common symptom across several neurological disorders; however it has a variable acoustic signature, making it difficult to quantify acoustically or perceptually. In this paper, we propose the nasal cognate distinctiveness features as an objective proxy for hypernasal speech. Our method is motivated by the observation that incomplete velopharyngeal closure changes the acoustics of the resultant speech such that alveolar stops /t/ and /d/ map to the alveolar nasal /n/ and bilabial stops /b/ and /p/ map to bilabial nasal /m/. We propose a new family of features based on likelihood ratios between the plosives and their respective nasal cognates. These features are based on an acoustic model that is trained only on healthy speech, and evaluated on a set of 75 speakers diagnosed with different dysarthria subtypes and exhibiting varying levels of hypernasality. Our results show that the family of features compares favorably with the clinical perception of speech-language pathologists subjectively evaluating hypernasality.

Entities:  

Keywords:  automatic speech recognition; dysarthria; hypernasality; speech; velopharyngeal dysfunction

Year:  2019        PMID: 31929763      PMCID: PMC6954066          DOI: 10.1109/ICASSP.2019.8682339

Source DB:  PubMed          Journal:  Proc IEEE Int Conf Acoust Speech Signal Process        ISSN: 1520-6149


  3 in total

1.  Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features.

Authors:  Michael Saxon; Ayush Tripathi; Yishan Jiao; Julie Liss; Visar Berisha
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2020-08-07

2.  Reliability of Perceptual Judgments of Phonetic Accuracy and Hypernasality Among Speech-Language Pathologists for Children With Dysarthria.

Authors:  Kristen M Allison; Mackenzie Russell; Katherine C Hustad
Journal:  Am J Speech Lang Pathol       Date:  2021-03-01       Impact factor: 2.408

3.  A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.

Authors:  Vikram C Mathad; Nancy Scherer; Kathy Chapman; Julie M Liss; Visar Berisha
Journal:  IEEE Trans Biomed Eng       Date:  2021-09-20       Impact factor: 4.756

  3 in total

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