16 citations · 79 across the 25 of their papers we have counts for
8 papers · 1 filter
Modified Mel Filter Bank to Compute MFCC of Subsampled Speech
Kiran Kumar Bhuvanagiri, Sunil Kumar Kopparapu
Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used speech features in most speech and speaker recognition applications. In this work, we propose a modified Mel…
A Framework for On-Line Devanagari Handwritten Character Recognition
Sunil Kumar Kopparapu, Lajish V. L
The main challenge in on-line handwritten character recognition in Indian lan- guage is the large size of the character set, larger similarity between different characters in the s…
On the use of Stress information in Speech for Speaker Recognition
Laxmi Narayana M., Sunil Kumar Kopparapu
The performance of a speaker recognition system decreases when the speaker is under stress or emotion. In this paper we explore and identify a mechanism that enables use of inheren…
Choice of Mel Filter Bank in Computing MFCC of a Resampled Speech
Laxmi Narayana M., Sunil Kumar Kopparapu
Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used speech features in most speech and speaker recognition applications. In this paper, we study the effect of r…
Optimal Gaussian Filter for Effective Noise Filtering
Sunil Kopparapu, M Satish
In this paper we show that the knowledge of noise statistics contaminating a signal can be effectively used to choose an optimal Gaussian filter to eliminate noise. Very specifical…
Music and Vocal Separation Using Multi-Band Modulation Based Features
Sunil Kumar Kopparapu, Meghna Pandharipande, G Sita
The potential use of non-linear speech features has not been investigated for music analysis although other commonly used speech features like Mel Frequency Ceptral Coefficients (M…