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Patients with AD experience disfluency, a high number of pauses, and repetition in speech, which is attributed to lexical retrieval difficulties due to cognitive decline [19]. Therefore, pauses are often used to analyze the speech and language of AD patients in order to assess their cognitive level [7,20,21].
Mar 11, 2023
In this paper, we investigate the use of pauses in speech (both unfilled and filled pauses such as “uh” and “um”) for this task.
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Pause duration analysis is a common feature in the study of discourse in Alzheimer's disease (AD) since this patient group has shown a consistent trend for ...
Mar 11, 2023 · We propose a speech pause feature extraction and encoding strategy for only acoustic-signal-based AD detection.
Aug 24, 2024 · Pauses, disfluencies and language problems in Alzheimer's disease can be naturally modeled by fine-tuning Transformer-based pre-trained ...
Nov 14, 2021 · In this paper, we will study the positions and lengths of dementia-sensitive pauses using adversarial learning approaches.
We propose encoding in-text pauses and filler words (eg, “uh” and “um”) in text-based language models and thoroughly evaluating their impact on performance.
Jan 4, 2021 · Pause duration analysis is a common feature in the study of discourse in Alzheimer's disease (AD) and may also be helpful for its early detection.
Sep 15, 2023 · Pauses, disfluencies and language problems in Alzheimer's disease can be naturally modeled by fine-tuning Transformer-based pre-trained language models.
Dec 14, 2022 · Compared with cognitive normal people, AD patients usually speak more slowly with more pauses between words [7] and suffer from word finding ...