Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training.

M. Pal, A. Jati, R. Peri, C. Hsu, W. AbdAlmageed, and S. Narayanan. ICASSP, page 6164-6168. IEEE, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

P Narayanan

Hermine Narayanan

Vidya Narayanan

Narayanan Radhakrishnan

Narayanan Sundaram

Other publications of authors with the same name

The FFSVC 2020 Evaluation Plan.X. Qin, M. Li, H. Bu, R. Das, W. Rao, S. Narayanan, and H. Li. CoRR, (2020)Speaker-Invariant Affective Representation Learning via Adversarial Training.H. Li, M. Tu, J. Huang, S. Narayanan, and P. Georgiou. ICASSP, page 7144-7148. IEEE, (2020)Audio-visual child-adult speaker classification in dyadic interactions.A. Xu, K. Huang, T. Feng, H. Tager-Flusberg, and S. Narayanan. CoRR, (2023)Privacy and Utility Preserving Data Transformation for Speech Emotion Recognition.T. Feng, and S. Narayanan. ACII, page 1-7. IEEE, (2021)PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models.T. Feng, and S. Narayanan. ACII, page 1-8. IEEE, (2023)MediaEval 2020 Emotion and Theme Recognition in Music Task: Loss Function Approaches for Multi-label Music Tagging.D. Knox, T. Greer, B. Ma, E. Kuo, K. Somandepalli, and S. Narayanan. MediaEval, volume 2882 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios.Z. Chen, N. Flemotomos, Z. Imel, D. Atkins, and S. Narayanan. EMNLP (Findings), page 5787-5795. Association for Computational Linguistics, (2022)Towards end-2-end learning for predicting behavior codes from spoken utterances in psychotherapy conversations.K. Singla, Z. Chen, D. Atkins, and S. Narayanan. ACL, page 3797-3803. Association for Computational Linguistics, (2020)Having a Bad Day? Detecting the Impact of Atypical Events Using Wearable Sensors.K. Burghardt, N. Tavabi, E. Ferrara, S. Narayanan, and K. Lerman. SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 257-267. Springer, (2021)Multi-Scale Speaker Diarization with Neural Affinity Score Fusion.T. Park, M. Kumar, and S. Narayanan. ICASSP, page 7173-7177. IEEE, (2021)

BibSonomy

Disambiguation of "Narayanan, Shrikanth"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training.

Please choose a person to relate this publication to

P Narayanan

Hermine Narayanan

Vidya Narayanan

Narayanan Radhakrishnan

Narayanan Sundaram

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Narayanan, Shrikanth"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training.

Please choose a person to relate this publication to

P Narayanan

Hermine Narayanan

Vidya Narayanan

Narayanan Radhakrishnan

Narayanan Sundaram

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Adversarial Defense for Deep Speaker Recognition Using Hybrid Adversarial Training.