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Identifying depression-related topics in smartphone-collected
  free-response speech recordings using an automatic speech recognition system
  and a deep learning topic model

Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model

22 August 2023
Yuezhou Zhang
A. Folarin
J. Dineley
Pauline Conde
Valeria de Angel
Shaoxiong Sun
Yatharth Ranjan
Zulqarnain Rashid
Callum Stewart
P. Laiou
H. Sankesara
Linglong Qian
F. Matcham
K. White
C. Oetzmann
F. Lamers
S. Siddi
Sara Simblett
Björn W. Schuller
S. Vairavan
Til Wykes
J. Haro
B. Penninx
V. A. Narayan
Matthew Hotopf
Richard J. B. Dobson
N. Cummins
RADAR-CNS Consortium
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Papers citing "Identifying depression-related topics in smartphone-collected free-response speech recordings using an automatic speech recognition system and a deep learning topic model"

1 / 1 papers shown
Title
Predicting Depressive Symptom Severity through Individuals' Nearby
  Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary
  Longitudinal Study
Predicting Depressive Symptom Severity through Individuals' Nearby Bluetooth Devices Count Data Collected by Mobile Phones: A Preliminary Longitudinal Study
Yuezhou Zhang
A. Folarin
Shaoxiong Sun
N. Cummins
Yatharth Ranjan
...
B. Penninx
V. A. Narayan
P. Annas
Matthew Hotopf
Richard J. B. Dobson
24
44
0
26 Apr 2021
1