5 citations · 8 across the 6 of their papers we have counts for
6 papers
Adaptive dictionary based approach for background noise and speaker classification and subsequent source separation
K V Vijay Girish, A G Ramakrishnan, T V Ananthapadmanabha
A judicious combination of dictionary learning methods, block sparsity and source recovery algorithm are used in a hierarchical manner to identify the noises and the speakers from…
Intrinsic normalization and extrinsic denormalization of formant data of vowels
T. V. Ananthapadmanabha, A. G. Ramakrishnan
Using a known speaker-intrinsic normalization procedure, formant data are scaled by the reciprocal of the geometric mean of the first three formant frequencies. This reduces the in…
An Interesting Property of LPCs for Sonorant Vs Fricative Discrimination
T. V. Ananthapadmanabha, A. G. Ramakrishnan, Pradeep Balachandran
Linear prediction (LP) technique estimates an optimum all-pole filter of a given order for a frame of speech signal. The coefficients of the all-pole filter, 1/A(z) are referred to…
Detection of transitions between broad phonetic classes in a speech signal
T V Ananthapadmanabha, K V Vijay Girish, A G Ramakrishnan
Detection of transitions between broad phonetic classes in a speech signal is an important problem which has applications such as landmark detection and segmentation. The proposed…
Quadratically constrained quadratic programming for classification using particle swarms and applications
Deepak Kumar, A G Ramakrishnan
Particle swarm optimization is used in several combinatorial optimization problems. In this work, particle swarms are used to solve quadratic programming problems with quadratic co…
Compressed EEG Acquisition with Limited Channels using Estimated Signal Correlation
J V Satyanarayana, A G Ramakrishnan
Nearby scalp channels in multi-channel EEG data exhibit high correlation. A question that naturally arises is whether it is required to record signals from all the electrodes in a…