Search research articles
Contact Us
Filters
Showing results (1-10 of 13) with videos related to
Page
of 2
Sort By:
Interspeech
|
December 4, 2023
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals
Jinhan Wang, Vijay Ravi, Abeer Alwan
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
May 9, 2022
FRAUG: A FRAME RATE BASED DATA AUGMENTATION METHOD FOR DEPRESSION DETECTION FROM SPEECH SIGNALS
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
Speech Communication
|
October 4, 2024
Speechformer-CTC: Sequential Modeling of Depression Detection with Speech Temporal Classification
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
Interspeech
|
November 7, 2022
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
Interspeech
|
November 7, 2022
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
Computer Speech & Language
|
February 5, 2024
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
CEUR Workshop Proceedings
|
April 23, 2024
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 24, 2019
Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo
Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, et al.
Communications Biology
|
May 7, 2024
Genetic association analysis of human median voice pitch identifies a common locus for tonal and non-tonal languages
Yazheng Di, Joel Mefford, Elior Rahmani, et al.
Molecular Psychiatry
|
December 31, 2024
Unraveling the associations between voice pitch and major depressive disorder: a multisite genetic study
Yazheng Di, Elior Rahmani, Joel Mefford, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Interspeech
|
December 4, 2023
Non-uniform Speaker Disentanglement For Depression Detection From Raw Speech Signals
Jinhan Wang, Vijay Ravi, Abeer Alwan
Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP (Conference)
|
May 9, 2022
FRAUG: A FRAME RATE BASED DATA AUGMENTATION METHOD FOR DEPRESSION DETECTION FROM SPEECH SIGNALS
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
Speech Communication
|
October 4, 2024
Speechformer-CTC: Sequential Modeling of Depression Detection with Speech Temporal Classification
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
Interspeech
|
November 7, 2022
Unsupervised Instance Discriminative Learning for Depression Detection from Speech Signals
Jinhan Wang, Vijay Ravi, Jonathan Flint, et al.
Interspeech
|
November 7, 2022
A Step Towards Preserving Speakers' Identity While Detecting Depression Via Speaker Disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
Computer Speech & Language
|
February 5, 2024
Enhancing accuracy and privacy in speech-based depression detection through speaker disentanglement
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
CEUR Workshop Proceedings
|
April 23, 2024
A Privacy-Preserving Unsupervised Speaker Disentanglement Method for Depression Detection from Speech
Vijay Ravi, Jinhan Wang, Jonathan Flint, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
December 24, 2019
Time-Resolved Far Infrared Light Transport Decomposition for Thermal Photometric Stereo
Kenichiro Tanaka, Nobuhiro Ikeya, Tsuyoshi Takatani, et al.
Communications Biology
|
May 7, 2024
Genetic association analysis of human median voice pitch identifies a common locus for tonal and non-tonal languages
Yazheng Di, Joel Mefford, Elior Rahmani, et al.
Molecular Psychiatry
|
December 31, 2024
Unraveling the associations between voice pitch and major depressive disorder: a multisite genetic study
Yazheng Di, Elior Rahmani, Joel Mefford, et al.
Page
of 2