5 citations · 13 across the 7 of their papers we have counts for
4 papers · 1 filter
Pitch-synchronous DCT features: A pilot study on speaker identification
Amit Meghanani, A G Ramakrishnan
We propose a new feature, namely, pitchsynchronous discrete cosine transform (PS-DCT), for the task of speaker identification. These features are obtained directly from the voiced…
Using Monte Carlo dropout for non-stationary noise reduction from speech
Nazreen P. M., A. G. Ramakrishnan
In this work, we propose the use of dropout as a Bayesian estimator for increasing the generalizability of a deep neural network (DNN) for speech enhancement. By using Monte Carlo…
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…
DNN Based Speech Enhancement for Unseen Noises Using Monte Carlo Dropout
Nazreen P M, A G Ramakrishnan
In this work, we propose the use of dropouts as a Bayesian estimator for increasing the generalizability of a deep neural network (DNN) for speech enhancement. By using Monte Carlo…