18 citations · 48 across the 10 of their papers we have counts for
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eess.AS2020★ 1 cited
S-vectors and TESA: Speaker Embeddings and a Speaker Authenticator Based on Transformer Encoder
N J Metilda Sagaya Mary, S Umesh, Sandesh V Katta
One of the most popular speaker embeddings is x-vectors, which are obtained from an architecture that gradually builds a larger temporal context with layers. In this paper, we prop…
eess.AS2020★ 3 cited
Investigation of Speaker-adaptation methods in Transformer based ASR
Vishwas M. Shetty, Metilda Sagaya Mary N J, S. Umesh
End-to-end models are fast replacing the conventional hybrid models in automatic speech recognition. Transformer, a sequence-to-sequence model, based on self-attention popularly us…