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Found 7 papers, 1 papers with code
Speech enhancement with frequency domain auto-regressive modeling
The dereverberated envelope-carrier signals are modulated and the sub-band signals are synthesized to reconstruct the audio signal back.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition
The dereverberated envelopes are used for feature extraction in speech recognition.
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive Envelopes
In this paper, we develop a feature enhancement approach using a neural model operating on sub-band temporal envelopes.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
SRIB-LEAP submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing
This paper presents the details of the SRIB-LEAP submission to the ConferencingSpeech challenge 2021.
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition
Automatic speech recognition in reverberant conditions is a challenging task as the long-term envelopes of the reverberant speech are temporally smeared.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Unsupervised Neural Mask Estimator For Generalized Eigen-Value Beamforming Based ASR
These models are trained using a paired corpus of clean and noisy recordings (teacher model).
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition
The MAR features are fed to a convolutional neural network (CNN) architecture which performs the joint acoustic modeling on the three dimensions.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
