3 papers
q-bio.NC2020
Decoding Imagined Speech using Wavelet Features and Deep Neural Networks
Jerrin Thomas Panachakel, A. G. Ramakrishnan
This paper proposes a novel approach that uses deep neural networks for classifying imagined speech, significantly increasing the classification accuracy. The proposed approach emp…
eess.SP2020
A Novel Deep Learning Architecture for Decoding Imagined Speech from EEG
Jerrin Thomas Panachakel, A. G. Ramakrishnan, T. V. Ananthapadmanabha
The recent advances in the field of deep learning have not been fully utilised for decoding imagined speech primarily because of the unavailability of sufficient training samples t…
cs.SD2018
Subjective and objective experiments on the influence of speaker's gender on the unvoiced segments
A Madhavaraj, T V Ananthapadmanabha, A G Ramakrishnan
Subjective and objective experiments are conducted to understand the extent to which a speaker's gender influences the acoustics of unvoiced (U) sounds. U segments of utterances ar…