Name
Abstract | ||
|---|---|---|
This paper presents three novel methods for speaker identification of which two methods utilize both the continuous density hidden Markov model (HMM) and the generalized fuzzy model (GFM), which has the advantages of both Mamdani and Takagi-Sugeno models. In the first method, the HMM is utilized for the extraction of shape-based batch feature vector that is fitted with the GFM to identify the spea... |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TSMCB.2012.2223461 | IEEE Transactions on Cybernetics |
Keywords | DocType | Volume |
Hidden Markov models,Vectors,Correlation,Speech,Feature extraction,Shape,Speaker recognition | Journal | 43 |
Issue | ISSN | Citations |
3 | 2168-2267 | 8 |
PageRank | References | Authors |
0.57 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saurabh Bhardwaj | 1 | 31 | 4.92 |
| Smriti Srivastava | 2 | 137 | 19.60 |
| Madasu Hanmandlu | 3 | 486 | 47.81 |
| J. R. P. Gupta | 4 | 51 | 6.26 |