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Impact of Environmental Noise on Alzheimer's Disease Detection from
  Speech: Should You Let a Baby Cry?

Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?

31 March 2022
Jekaterina Novikova
ArXivPDFHTML

Papers citing "Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?"

16 / 16 papers shown
Title
ICASSP 2023 Deep Noise Suppression Challenge
ICASSP 2023 Deep Noise Suppression Challenge
Harishchandra Dubey
A. Aazami
Vishak Gopal
Sergiy Matusevych
Sebastian Braun
...
Sefik Emre Eskimez
Manthan Thakker
H. Gamper
Takuya Yoshioka
R. Aichner
49
94
0
21 Mar 2023
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease
  from Text
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text
Jekaterina Novikova
OOD
47
10
0
24 Sep 2021
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and
  Speech Pause Features Robust to Noisy Inputs
Alzheimer's Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs
Morteza Rohanian
Julian Hough
Matt Purver
47
43
0
29 Jun 2021
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection
Aparna Balagopalan
Jekaterina Novikova
39
43
0
03 Jun 2021
Detecting cognitive decline using speech only: The ADReSSo Challenge
Detecting cognitive decline using speech only: The ADReSSo Challenge
Saturnino Luz
F. Haider
S. D. L. Fuente
Davida Fromm
B. MacWhinney
70
156
0
23 Mar 2021
Towards efficient models for real-time deep noise suppression
Towards efficient models for real-time deep noise suppression
Sebastian Braun
H. Gamper
Chandan K. A. Reddy
I. Tashev
47
108
0
22 Jan 2021
Fantastic Features and Where to Find Them: Detecting Cognitive
  Impairment with a Subsequence Classification Guided Approach
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach
Benjamin Eyre
Aparna Balagopalan
Jekaterina Novikova
28
8
0
13 Oct 2020
Artificial Intelligence, speech and language processing approaches to
  monitoring Alzheimer's Disease: a systematic review
Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review
Sofia de la Fuente Garcia
C. Ritchie
Saturnino Luz
61
157
0
12 Oct 2020
GenAug: Data Augmentation for Finetuning Text Generators
GenAug: Data Augmentation for Finetuning Text Generators
Steven Y. Feng
Varun Gangal
Dongyeop Kang
Teruko Mitamura
Eduard H. Hovy
46
73
0
05 Oct 2020
To BERT or Not To BERT: Comparing Speech and Language-based Approaches
  for Alzheimer's Disease Detection
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection
Aparna Balagopalan
Benjamin Eyre
Frank Rudzicz
Jekaterina Novikova
42
124
0
26 Jul 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech
  Representations
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski
Henry Zhou
Abdel-rahman Mohamed
Michael Auli
SSL
252
5,774
0
20 Jun 2020
Lexical Features Are More Vulnerable, Syntactic Features Have More
  Predictive Power
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power
Jekaterina Novikova
Aparna Balagopalan
Ksenia Shkaruta
Frank Rudzicz
39
7
0
30 Sep 2019
Phase-aware Speech Enhancement with Deep Complex U-Net
Hyeong-Seok Choi
Jang-Hyun Kim
Jaesung Huh
A. Kim
Jung-Woo Ha
Kyogu Lee
53
331
0
07 Mar 2019
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from
  Speech
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech
Aparna Balagopalan
Jekaterina Novikova
Frank Rudzicz
Marzyeh Ghassemi
45
21
0
29 Nov 2018
Detecting cognitive impairments by agreeing on interpretations of
  linguistic features
Detecting cognitive impairments by agreeing on interpretations of linguistic features
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
37
27
0
20 Aug 2018
Semi-supervised classification by reaching consensus among modalities
Semi-supervised classification by reaching consensus among modalities
Zining Zhu
Jekaterina Novikova
Frank Rudzicz
42
9
0
23 May 2018
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