Search Results for author: Raghuveer Peri

Found 6 papers, 3 papers with code

Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems

no code implementations29 Mar 2022 Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri, Shrikanth Narayanan

A variety of recent works have looked into defenses for deep neural networks against adversarial attacks particularly within the image processing domain.

Automatic Speech Recognition

To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition

1 code implementation17 Mar 2022 Raghuveer Peri, Krishna Somandepalli, Shrikanth Narayanan

In this paper, we systematically evaluate the biases present in speaker recognition systems with respect to gender across a range of system operating points.

Face Recognition Fairness +2

Automated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

no code implementations22 Feb 2021 Nikolaos Flemotomos, Victor R. Martinez, Zhuohao Chen, Karan Singla, Victor Ardulov, Raghuveer Peri, Derek D. Caperton, James Gibson, Michael J. Tanana, Panayiotis Georgiou, Jake Van Epps, Sarah P. Lord, Tad Hirsch, Zac E. Imel, David C. Atkins, Shrikanth Narayanan

With the growing prevalence of psychological interventions, it is vital to have measures which rate the effectiveness of psychological care to assist in training, supervision, and quality assurance of services.

Adversarial Attack and Defense Strategies for Deep Speaker Recognition Systems

1 code implementation18 Aug 2020 Arindam Jati, Chin-Cheng Hsu, Monisankha Pal, Raghuveer Peri, Wael Abd-Almageed, Shrikanth Narayanan

Robust speaker recognition, including in the presence of malicious attacks, is becoming increasingly important and essential, especially due to the proliferation of several smart speakers and personal agents that interact with an individual's voice commands to perform diverse, and even sensitive tasks.

Adversarial Attack Adversarial Robustness +1

Robust speaker recognition using unsupervised adversarial invariance

1 code implementation3 Nov 2019 Raghuveer Peri, Monisankha Pal, Arindam Jati, Krishna Somandepalli, Shrikanth Narayanan

In this paper, we address the problem of speaker recognition in challenging acoustic conditions using a novel method to extract robust speaker-discriminative speech representations.

Speaker Diarization Speaker Recognition +1

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