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We present two multimodal fusion-based deep learning models that consume ASR transcribed speech and acoustic data simultaneously to classify whether a speaker in a structured diagnostic task has Alzheimer's Disease and to what degree, evaluating the ADReSSo challenge 2021 data.
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2021
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S. Nasreen, M. Rohanian, M. Purver, and J. Hough, “Alzheimer’s dementia recognition from spontaneous speech using disfluency and interactional features,” Frontiers in Computer Science , vol. 3, p. 49, 2021
2021
Closest in time.