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Found 4 papers, 2 papers with code
Requirements for Mass Adoption of Assistive Listening Technology by the General Public
Assistive listening systems (ALSs) dramatically increase speech intelligibility and reduce listening effort.
Robust Vocal Quality Feature Embeddings for Dysphonic Voice Detection
In this paper, we propose a deep learning framework for generating acoustic feature embeddings sensitive to vocal quality and robust across different corpora.
TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library
The DIVA model is a computational model of speech motor control that combines a simulation of the brain regions responsible for speech production with a model of the human vocal tract.
Robust Estimation of Hypernasality in Dysarthria with Acoustic Model Likelihood Features
To demonstrate that the features derived from these acoustic models are specific to hypernasal speech, we evaluate them across different dysarthria corpora.
