21 citations · 35 across the 3 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2021★ 6 cited
Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning
Sunakshi Mehra, Seba Susan
We introduce an unsupervised approach for correcting highly imperfect speech transcriptions based on a decision-level fusion of stemming and two-way phoneme pruning. Transcripts ar…
cs.CL2021
Context- and Sequence-Aware Convolutional Recurrent Encoder for Neural Machine Translation
Ritam Mallick, Seba Susan, Vaibhaw Agrawal +2
Neural Machine Translation model is a sequence-to-sequence converter based on neural networks. Existing models use recurrent neural networks to construct both the encoder and decod…
cs.CL2020
Speaker Recognition using SincNet and X-Vector Fusion
Mayank Tripathi, Divyanshu Singh, Seba Susan
In this paper, we propose an innovative approach to perform speaker recognition by fusing two recently introduced deep neural networks (DNNs) namely - SincNet and X-Vector. The ide…