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Robust hybrid features based text independent speaker identification system over noisy additive channel
Joint Authors
al-Abbasi, Hisham Adnan
Hasan, Fadl Sahib
Jalil, Ali Muayyad
Source
Journal of Engineering and Sustainable Development
Issue
Vol. 24, Issue 4 (31 Jul. 2020), pp.56-70, 15 p.
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2020-07-31
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Robustness of speaker identification systems over additive noise is crucial for real-world applications.
In this paper, two robust features named Power Normalized Cepstral Coefficients (PNCC) and Gammatone Frequency Cepstral Coefficients (GFCC) are combined together to improve the robustness of speaker identification system over different types of noise.
Universal Background Model Gaussian Mixture Model (UBM-GMM) is used as a feature matching and a classifier to identify the claim speakers.
Evaluation results show that the proposed hybrid feature improves the performance of identification system when compared to conventional features over most types of noise and different signal-to-noise ratios.
American Psychological Association (APA)
Jalil, Ali Muayyad& Hasan, Fadl Sahib& al-Abbasi, Hisham Adnan. 2020. Robust hybrid features based text independent speaker identification system over noisy additive channel. Journal of Engineering and Sustainable Development،Vol. 24, no. 4, pp.56-70.
https://search.emarefa.net/detail/BIM-1263667
Modern Language Association (MLA)
Jalil, Ali Muayyad…[et al.]. Robust hybrid features based text independent speaker identification system over noisy additive channel. Journal of Engineering and Sustainable Development Vol. 24, no. 4 (Jul. 2020), pp.56-70.
https://search.emarefa.net/detail/BIM-1263667
American Medical Association (AMA)
Jalil, Ali Muayyad& Hasan, Fadl Sahib& al-Abbasi, Hisham Adnan. Robust hybrid features based text independent speaker identification system over noisy additive channel. Journal of Engineering and Sustainable Development. 2020. Vol. 24, no. 4, pp.56-70.
https://search.emarefa.net/detail/BIM-1263667
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1263667