Vikram C. Mathad — accepted AI-conference papers

2021

An Attention Model for Hypernasality Prediction in Children with Cleft Palate

Vikram C. Mathad, Nancy Scherer, Kathy Chapman, Julie Liss, Visar Berisha

ICASSP 2021accepted

Hypernasality refers to the perception of abnormal nasal resonances in vowels and voiced consonants. Estimation of hypernasality severity from connected speech samples involves learning a mapping between the frame-level features and utterance-level clinical ratings of hypernasality. However, not all…

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2020

Deep Learning Based Prediction of Hypernasality for Clinical Applications

Vikram C. Mathad, Kathy Chapman, Julie Liss, Nancy Scherer, Visar Berisha

ICASSP 2020accepted

Hypernasality refers to the perception of excessive nasal resonance during the production of oral sounds. Existing methods for automatic assessment of hypernasality from speech are based on machine learning models trained on disordered speech databases rated by speech-language pathologists. However,…

Cited by 0 Source ↗Scholar ↗