[PDF][PDF] Speaker identification analysis based on long-term acoustic characteristics with minimal performance

MK Singh, S Manusha, KV Balaramakrishna… - International Journal of …, 2022 - academia.edu
░ ABSTRACT-The identity of the speakers depends on the phonological properties acquired
from the speech. The Mel-Frequency Cepstral Coefficients (MFCC) are better researched for …

Enhancing MR image reconstruction using block dictionary learning

S Ikram, S Zubair, JA Shah, IM Qureshi, A Wahid… - IEEE …, 2019 - ieeexplore.ieee.org
While representing a class of signals in term of sparsifying transform, it is better to use a
adapted learned dictionary instead of using a predefined dictionary as proposed in the …

Improved structured dictionary learning via correlation and class based block formation

N Kumar, R Sinha - IEEE Transactions on Signal Processing, 2018 - ieeexplore.ieee.org
In recent years, the creation of the block-structured dictionary has attracted a lot of interest. It
involves a two-step process: block formation and dictionary update. Both the steps are …

Exploration of sparse representation techniques in language recognition

OP Singh - 2019 - shodhganga.inflibnet.ac.in
The work presented in this thesis investigates different approaches for achieving efficient
sparse representation for the purpose of language recognition LR task In this context both …

Enrollee-constrained sparse coding of test data for speaker verification

N Kumar, R Sinha - Pattern Recognition Letters, 2018 - Elsevier
Recent works have reported the successful use of sparse representation (SR) over learned
dictionary for speaker verification (SV) task. For large variability practical data, the SR based …

Correlation and Class Based Block Formation for Improved Structured Dictionary Learning

N Kumar, R Sinha - arXiv preprint arXiv:1708.01448, 2017 - arxiv.org
In recent years, the creation of block-structured dictionary has attracted a lot of interest.
Learning such dictionaries involve two step process: block formation and dictionary update …