18 citations · 48 across the 10 of their papers we have counts for
3 papers · 1 filter
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models
Vrunda N. Sukhadia, S. Umesh
In this paper, we investigate domain adaptation for low-resource Automatic Speech Recognition (ASR) of target-domain data, when a well-trained ASR model trained with a large datase…
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…
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…