3 citations · 6 across the 7 of their papers we have counts for
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Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems
Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri +1
A variety of recent works have looked into defenses for deep neural networks against adversarial attacks particularly within the image processing domain. Speech processing applicat…
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition
Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar +1
The task of speech recognition in far-field environments is adversely affected by the reverberant artifacts that elicit as the temporal smearing of the sub-band envelopes. In this…
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive Envelopes
Rohit Kumar, Anurenjan Purushothaman, Anirudh Sreeram +1
The end-to-end (E2E) automatic speech recognition (ASR) systems are often required to operate in reverberant conditions, where the long-term sub-band envelopes of the speech are te…
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems
Anirudh Sreeram, Nicholas Mehlman, Raghuveer Peri +2
In this paper we investigate speech denoising as a defense against adversarial attacks on automatic speech recognition (ASR) systems. Adversarial attacks attempt to force misclassi…
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition
Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar +1
Automatic speech recognition in reverberant conditions is a challenging task as the long-term envelopes of the reverberant speech are temporally smeared. In this paper, we propose…
LEAP Submission to CHiME-6 ASR Challenge}
Anirudh Sreeram, Anurenjan Purushothaman, Rohit Kumar +1
This paper reports the LEAP submission to the CHiME-6 challenge. The CHiME-6 Automatic Speech Recognition (ASR) challenge Track 1 involved the recognition of speech in noisy and re…
Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR
Rohit Kumar, Anirudh Sreeram, Anurenjan Purushothaman +1
The state-of-art methods for acoustic beamforming in multi-channel ASR are based on a neural mask estimator that predicts the presence of speech and noise. These models are trained…
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition
Anurenjan Purushothaman, Anirudh Sreeram, Sriram Ganapathy
Automatic speech recognition in multi-channel reverberant conditions is a challenging task. The conventional way of suppressing the reverberation artifacts involves a beamforming b…