ArticleProceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)2019
OBJECTIVE MEASURES OF PLOSIVE NASALIZATION IN HYPERNASAL SPEECH.
Article in Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- The impact of headache intensity on speech in participants with migraine and acute post-traumatic headache.Headache · 2025Observational
- Consonant-Vowel Transition Models Based on Deep Learning for Objective Evaluation of Articulation.IEEE/ACM transactions on audio, speech, and language processing · 2023Article
- A Deep Learning Algorithm for Objective Assessment of Hypernasality in Children With Cleft Palate.IEEE transactions on bio-medical engineering · 2021Article
- Reliability of Perceptual Judgments of Phonetic Accuracy and Hypernasality Among Speech-Language Pathologists for Children With Dysarthria.American journal of speech-language pathology · 2021Article
- Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features.IEEE/ACM transactions on audio, speech, and language processing · 2020Article
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3 authors.
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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.
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