2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.AS2021★ 1 cited
End-to-End Language Identification using Multi-Head Self-Attention and 1D Convolutional Neural Networks
Krishna D N, Ankita Patil
In this work, we propose a new approach for language identification using multi-head self-attention combined with raw waveform based 1D convolutional neural networks for Indian lan…
eess.AS2020
Multi-Modal Transformers Utterance-Level Code-Switching Detection
Krishna D N
An utterance that contains speech from multiple languages is known as a code-switched sentence. In this work, we propose a novel technique to predict whether given audio is mono-li…
cs.CL2020★ 2 cited
Identification of Indian Languages using Ghost-VLAD pooling
Krishna D N, Ankita Patil, M. S. P Raj +2
In this work, we propose a new pooling strategy for language identification by considering Indian languages. The idea is to obtain utterance level features for any variable length…