Seq2seq for Automatic Paraphasia Detection in Aphasic Speech

1 code implementation • 16 Dec 2023 • Matthew Perez, Duc Le, Amrit Romana, Elise Jones, Keli Licata, Emily Mower Provost

In this paper, we propose a novel, sequence-to-sequence (seq2seq) model that is trained end-to-end (E2E) to perform both ASR and paraphasia detection tasks.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

Articulatory Coordination for Speech Motor Tracking in Huntington Disease

1 code implementation • 28 Sep 2021 • Matthew Perez, Amrit Romana, Angela Roberts, Noelle Carlozzi, Jennifer Ann Miner, Praveen Dayalu, Emily Mower Provost

Lastly, we analyze the F-value scores of VTC features to visualize which channels are most related to motor score.

Learning Paralinguistic Features from Audiobooks through Style Voice Conversion

no code implementations • NAACL 2021 • Zakaria Aldeneh, Matthew Perez, Emily Mower Provost

Paralinguistics, the non-lexical components of speech, play a crucial role in human-human interaction.

Emotion Recognition Voice Conversion

Classification of Huntington Disease using Acoustic and Lexical Features

no code implementations • 7 Aug 2020 • Matthew Perez, Wenyu Jin, Duc Le, Noelle Carlozzi, Praveen Dayalu, Angela Roberts, Emily Mower Provost

Speech is a critical biomarker for Huntington Disease (HD), with changes in speech increasing in severity as the disease progresses.

Classification General Classification