Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System
This paper discusses and evaluates the effect of voice Activity Detection (VAD) in an isolated Yoruba word ecognition system (IYWRS). The word database used in this paper are collected from 22 speakers by repeating the numbers 1 to 9 three times each. A hybrid configuration of Mel-Frequency Cepstr...
| Main Authors: | , , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/1761/ http://irep.iium.edu.my/1761/1/Evaluating_the_effect_of_voice_activity_detection_in_isolated_Yoruba_word_recognition_system.pdf |
| _version_ | 1848775912357625856 |
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| author | Aibinu, Abiodun Musa Salami, Momoh Jimoh Eyiomika Najeeb, Athaur Rahman Azeez, J. F. Rajin, S. M. Ataul Karim |
| author_facet | Aibinu, Abiodun Musa Salami, Momoh Jimoh Eyiomika Najeeb, Athaur Rahman Azeez, J. F. Rajin, S. M. Ataul Karim |
| author_sort | Aibinu, Abiodun Musa |
| building | IIUM Repository |
| collection | Online Access |
| description | This paper discusses and evaluates the effect of voice
Activity Detection (VAD) in an isolated Yoruba word ecognition system (IYWRS). The word database used in this paper are collected from 22 speakers by repeating the numbers 1 to 9 three times each. A hybrid configuration of Mel-Frequency Cepstral coefficient (MFCC) and Linear Predictive Coding (LPC) have been used to extract the
features of the speech samples. Artificial Neural Network algorithms are then used to classify these features. An overall accuracy of about 60% has been achieved from the two proposed feature extraction methods. |
| first_indexed | 2025-11-14T14:21:44Z |
| format | Proceeding Paper |
| id | iium-1761 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:21:44Z |
| publishDate | 2011 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-17612012-05-14T03:26:07Z http://irep.iium.edu.my/1761/ Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System Aibinu, Abiodun Musa Salami, Momoh Jimoh Eyiomika Najeeb, Athaur Rahman Azeez, J. F. Rajin, S. M. Ataul Karim TK5101 Telecommunication. Including telegraphy, radio, radar, television This paper discusses and evaluates the effect of voice Activity Detection (VAD) in an isolated Yoruba word ecognition system (IYWRS). The word database used in this paper are collected from 22 speakers by repeating the numbers 1 to 9 three times each. A hybrid configuration of Mel-Frequency Cepstral coefficient (MFCC) and Linear Predictive Coding (LPC) have been used to extract the features of the speech samples. Artificial Neural Network algorithms are then used to classify these features. An overall accuracy of about 60% has been achieved from the two proposed feature extraction methods. 2011 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/1761/1/Evaluating_the_effect_of_voice_activity_detection_in_isolated_Yoruba_word_recognition_system.pdf Aibinu, Abiodun Musa and Salami, Momoh Jimoh Eyiomika and Najeeb, Athaur Rahman and Azeez, J. F. and Rajin, S. M. Ataul Karim (2011) Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System. In: 4th International Conference on Mechatronics (ICOM), 17-19 May, 2011, Kuala Lumpur. http://www.iium.edu.my/ICOM/2011/ |
| spellingShingle | TK5101 Telecommunication. Including telegraphy, radio, radar, television Aibinu, Abiodun Musa Salami, Momoh Jimoh Eyiomika Najeeb, Athaur Rahman Azeez, J. F. Rajin, S. M. Ataul Karim Evaluating the effect of voice activity detection in isolated Yoruba Word Recognition System |
| title | Evaluating the effect of voice activity detection in
isolated Yoruba Word Recognition System |
| title_full | Evaluating the effect of voice activity detection in
isolated Yoruba Word Recognition System |
| title_fullStr | Evaluating the effect of voice activity detection in
isolated Yoruba Word Recognition System |
| title_full_unstemmed | Evaluating the effect of voice activity detection in
isolated Yoruba Word Recognition System |
| title_short | Evaluating the effect of voice activity detection in
isolated Yoruba Word Recognition System |
| title_sort | evaluating the effect of voice activity detection in
isolated yoruba word recognition system |
| topic | TK5101 Telecommunication. Including telegraphy, radio, radar, television |
| url | http://irep.iium.edu.my/1761/ http://irep.iium.edu.my/1761/ http://irep.iium.edu.my/1761/1/Evaluating_the_effect_of_voice_activity_detection_in_isolated_Yoruba_word_recognition_system.pdf |