activity
20162026
most citedZero resource speech synthesis using transcripts derived from perceptual acoustic units

7 citations · 13 across the 15 of their papers we have counts for

collaborators
Showing 2020Show all

8 papers · 1 filter

cs.CV2020

Towards Zero-Shot Learning with Fewer Seen Class Examples

Vinay Kumar Verma, Ashish Mishra, Anubha Pandey +2

We present a meta-learning based generative model for zero-shot learning (ZSL) towards a challenging setting when the number of training examples from each \emph{seen} class is ver…

eess.SP2020

Correlation based Multi-phasal models for improved imagined speech EEG recognition

Rini A Sharon, Hema A Murthy

Translation of imagined speech electroencephalogram(EEG) into human understandable commands greatly facilitates the design of naturalistic brain computer interfaces. To achieve imp…

eess.AS2020

Novel Architectures for Unsupervised Information Bottleneck based Speaker Diarization of Meetings

Nauman Dawalatabad, Srikanth Madikeri, C. Chandra Sekhar +1

Speaker diarization is an important problem that is topical, and is especially useful as a preprocessor for conversational speech related applications. The objective of this paper…

cs.LG2020

The "Sound of Silence" in EEG -- Cognitive voice activity detection

Rini A Sharon, Hema A Murthy

Speech cognition bears potential application as a brain computer interface that can improve the quality of life for the otherwise communication impaired people. While speech and re…

eess.AS20201 cited

Exploration of End-to-end Synthesisers forZero Resource Speech Challenge 2020

Karthik Pandia D S, Anusha Prakash, Mano Ranjith Kumar +1

A Spoken dialogue system for an unseen language is referred to as Zero resource speech. It is especially beneficial for developing applications for languages that have low digital…

eess.SP2020

Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques

Mari Ganesh Kumar, Shrikanth Narayanan, Mriganka Sur +1

Electroencephalography (EEG) signals are promising as alternatives to other biometrics owing to their protection against spoofing. Previous studies have focused on capturing indivi…