341 citations · 501 across the 66 of their papers we have counts for
4 papers · 1 filter
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…
Improving Voice Separation by Incorporating End-to-end Speech Recognition
Naoya Takahashi, Mayank Kumar Singh, Sakya Basak +3
Despite recent advances in voice separation methods, many challenges remain in realistic scenarios such as noisy recording and the limits of available data. In this work, we propos…
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…
The Second DIHARD Diarization Challenge: Dataset, task, and baselines
Neville Ryant, Kenneth Church, Christopher Cieri +4
This paper introduces the second DIHARD challenge, the second in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variation i…