[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 …
from the speech. The Mel-Frequency Cepstral Coefficients (MFCC) are better researched for …
Enhancing MR image reconstruction using block dictionary learning
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 …
adapted learned dictionary instead of using a predefined dictionary as proposed in the …
Improved structured dictionary learning via correlation and class based block formation
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 …
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 …
sparse representation for the purpose of language recognition LR task In this context both …
Enrollee-constrained sparse coding of test data for speaker verification
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 …
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
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 …
Learning such dictionaries involve two step process: block formation and dictionary update …