Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.]
Speech is the utmost communication medium for human beings which conveys rich and valuable information such as accent, gender, emotion and unique identity. Therefore, automatic speaker recognition can be developed based on unique characteristics of one’s speech and utilized for applications such as...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
Universiti Teknologi MARA Cawangan Pulau Pinang
2023
|
| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/76557/1/76557.pdf https://ir.uitm.edu.my/id/eprint/76557/ https://uppp.uitm.edu.my/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1863791222915596288 |
|---|---|
| author | Zailan, Mohamad Khairul Najmi Mohd Ali, Yusnita Noorsal, Emilia Abdullah, Mohd Hanapiah Saad, Zuraidi Mat Leh, Adni |
| author_facet | Zailan, Mohamad Khairul Najmi Mohd Ali, Yusnita Noorsal, Emilia Abdullah, Mohd Hanapiah Saad, Zuraidi Mat Leh, Adni |
| author_sort | Zailan, Mohamad Khairul Najmi |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Speech is the utmost communication medium for human beings which conveys rich and valuable information such as accent, gender, emotion and unique identity. Therefore, automatic speaker recognition can be developed based on unique characteristics of one’s speech and utilized for applications such as voice dialing, online banking, and telephone shopping to verify the identity of its users. However, retrieving salient features which are capable of identifying speakers is a challenging problem in speech recognition systems since speech contains abundant information. In this study, a total of 438 audio data obtained from speakers uttering speech in text-independent context is proposed using speech data elicited from three Malay male speakers. The performance of two popularly used feature extraction techniques namely, linear prediction coefficients (LPC) and Mel-frequency cepstral coefficients (MFCC) were compared using discriminant analysis model. Although both features yielded impressive outcomes, the MFCC features surpassed that of LPC by achieving a higher accuracy rate of 99.09%, which was 4.34% higher than the latter. |
| format | Article |
| id | my.uitm.ir-76557 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2023 |
| publisher | Universiti Teknologi MARA Cawangan Pulau Pinang |
| record_format | eprints |
| spelling | my.uitm.ir-765572026-04-22T03:13:11Z https://ir.uitm.edu.my/id/eprint/76557/ Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] esteem Zailan, Mohamad Khairul Najmi Mohd Ali, Yusnita Noorsal, Emilia Abdullah, Mohd Hanapiah Saad, Zuraidi Mat Leh, Adni Electronics Apparatus and materials Transmission lines Microwaves. Including microwave circuits Speech is the utmost communication medium for human beings which conveys rich and valuable information such as accent, gender, emotion and unique identity. Therefore, automatic speaker recognition can be developed based on unique characteristics of one’s speech and utilized for applications such as voice dialing, online banking, and telephone shopping to verify the identity of its users. However, retrieving salient features which are capable of identifying speakers is a challenging problem in speech recognition systems since speech contains abundant information. In this study, a total of 438 audio data obtained from speakers uttering speech in text-independent context is proposed using speech data elicited from three Malay male speakers. The performance of two popularly used feature extraction techniques namely, linear prediction coefficients (LPC) and Mel-frequency cepstral coefficients (MFCC) were compared using discriminant analysis model. Although both features yielded impressive outcomes, the MFCC features surpassed that of LPC by achieving a higher accuracy rate of 99.09%, which was 4.34% higher than the latter. Universiti Teknologi MARA Cawangan Pulau Pinang 2023-03 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/76557/1/76557.pdf Zailan, Mohamad Khairul Najmi and Mohd Ali, Yusnita and Noorsal, Emilia and Abdullah, Mohd Hanapiah and Saad, Zuraidi and Mat Leh, Adni (2023) Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.]. (2023) ESTEEM Academic Journal <https://ir.uitm.edu.my/view/publication/ESTEEM_Academic_Journal.html>, 19 (March). pp. 101-112. ISSN 2289-4934 https://uppp.uitm.edu.my/ 10.24191/esteem.v19iMarch.21337 10.24191/esteem.v19iMarch.21337 10.24191/esteem.v19iMarch.21337 |
| spellingShingle | Electronics Apparatus and materials Transmission lines Microwaves. Including microwave circuits Zailan, Mohamad Khairul Najmi Mohd Ali, Yusnita Noorsal, Emilia Abdullah, Mohd Hanapiah Saad, Zuraidi Mat Leh, Adni Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title | Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title_full | Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title_fullStr | Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title_full_unstemmed | Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title_short | Comparative analysis of LPC and MFCC for male speaker recognition in text-independent context / Mohamad Khairul Najmi Zailan ... [et al.] |
| title_sort | comparative analysis of lpc and mfcc for male speaker recognition in text-independent context / mohamad khairul najmi zailan ... [et al.] |
| topic | Electronics Apparatus and materials Transmission lines Microwaves. Including microwave circuits |
| url | https://ir.uitm.edu.my/id/eprint/76557/1/76557.pdf https://ir.uitm.edu.my/id/eprint/76557/ https://uppp.uitm.edu.my/ |
| url_provider | http://ir.uitm.edu.my/ |