6 citations · 9 across the 7 of their papers we have counts for
8 papers
Speech enhancement with frequency domain auto-regressive modeling
Anurenjan Purushothaman, Debottam Dutta, Rohit Kumar +1
Speech applications in far-field real world settings often deal with signals that are corrupted by reverberation. The task of dereverberation constitutes an important step to impro…
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…
SRIB-LEAP submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing
R G Prithvi Raj, Rohit Kumar, M K Jayesh +3
This paper presents the details of the SRIB-LEAP submission to the ConferencingSpeech challenge 2021. The challenge involved the task of multi-channel speech enhancement to improve…
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…