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1
A comparison of acoustic and linguistics methodologies for Alzheimer’s dementia recognition
Abstract: In the light of the current COVID-19 pandemic, the need for remote digital health assessment tools is greater than ever. This statement is especially pertinent for elderly and vulnerable populations. In this regard, the INTERSPEECH 2020 Alzheimer’s Dementia Recognition through Spontaneous Speech (ADReSS) Challenge offers competitors the opportunity to develop speech and language-based systems for the task of Alzheimer’s Dementia (AD) recognition. The challenge data consists of speech recordings and their transcripts, the work presented herein is an assessment of different contemporary approaches on these modalities. Specifically, we compared a hierarchical neural network with an attention mechanism trained on linguistic features with three acoustic-based systems: (i) Bag-of-Audio-Words (BoAW) quantising different low-level descriptors, (ii) a Siamese Network trained on log-Mel spectrograms, and (iii) a Convolutional Neural Network (CNN) end-to-end system trained on raw waveforms. Key results indicate the strength of the linguistic approach over the acoustics systems. Our strongest test-set result was achieved using a late fusion combination of BoAW, End-to-End CNN, and hierarchical-attention networks, which outperformed the challenge baseline in both the classification and regression tasks.
URL: https://eprints.whiterose.ac.uk/170037/7/A%20comparison%20of%20acoustic%20and%20linguistics%20methodologies%20for%20Alzheimer%E2%80%99s%20dementia%20recognition.pdf
http://eprints.whiterose.ac.uk/170037/
https://www.isca-speech.org/archive/Interspeech_2020/abstracts/2635.html
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2
Multilingual Recognition and Identification - Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 7, 1713-1726
OLC Linguistik
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3
Applying Multi- and Cross-Lingual Stochastic Phone Space Transformations to Non-Native Speech Recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 21 (2013) 7, 1713
OLC Linguistik
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4
Acoustic Modeling for Automatic Speech Recognition Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator
In: Institute of Electrical and Electronics Engineers. IEEE transactions on audio, speech and language processing. - New York, NY : Inst. 19 (2011) 2, 225-241
OLC Linguistik
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5
Entropy Based Classifier Combination for Sentence Segmentation
In: DTIC (2007)
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