Text Independent Amharic Language Speaker Identification in Noisy Environments using Speech Processing Techniques
In Ethiopia, the largest ethnic and linguistic groups are the Oromos, Amharas and Tigrayans. This paper presents the performance analysis of text-independent speaker identification system for the Amharic language in noisy environments. VQ (Vector Quantization), GMM (Gaussian Mixture Models), BPNN (B...
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2017-01-01.
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| Online Access: | Get fulltext |
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| LEADER | 02184 am a22003013u 4500 | ||
|---|---|---|---|
| 001 | ijeecs6056_5744 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Mengistu, Abrham Debasu |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Melesew Alemayehu, Dagnachew |e author |
| 245 | 0 | 0 | |a Text Independent Amharic Language Speaker Identification in Noisy Environments using Speech Processing Techniques |
| 260 | |b Institute of Advanced Engineering and Science, |c 2017-01-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6056 | ||
| 520 | |a In Ethiopia, the largest ethnic and linguistic groups are the Oromos, Amharas and Tigrayans. This paper presents the performance analysis of text-independent speaker identification system for the Amharic language in noisy environments. VQ (Vector Quantization), GMM (Gaussian Mixture Models), BPNN (Back propagation neural network), MFCC (Mel-frequency cepstrum coefficients), GFCC (Gammatone Frequency Cepstral Coefficients), and a hybrid approach had been use as techniques for identifying speakers of Amharic language in noisy environments. For the identification process, speech signals are collected from different speakers including both sexes; for our data set, a total of 90 speakers' speech samples were collected, and each speech have 10 seconds duration from each individual. From these speakers, 59.2%, 70.9% and 84.7% accuracy are achieved when VQ, GMM and BPNN are used on the combined feature vector of MFCC and GFCC. | ||
| 540 | |a Copyright (c) 2017 Indonesian Journal of Electrical Engineering and Computer Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc-nd/4.0 | ||
| 546 | |a eng | ||
| 690 | |||
| 690 | |||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 5, No 1: January 2017; 109-114 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v5.i1 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6056/5744 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/6056/5744 |z Get fulltext |