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20142020
most citedDecoding Imagined Speech using Wavelet Features and Deep Neural Networks

40 citations · 71 across the 9 of their papers we have counts for

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6 papers · 1 filter

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…

cs.SD2016★ 1 cited

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…

cs.SD2016

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…

cs.SD2015★ 1 cited

A dictionary learning and source recovery based approach to classify diverse audio sources

K V Vijay Girish, T V Ananthapadmanabha, A G Ramakrishnan

A dictionary learning based audio source classification algorithm is proposed to classify a sample audio signal as one amongst a finite set of different audio sources. Cosine simil…

cs.SD2014★ 5 cited

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…

cs.SD2014

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…