Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification
Echo cancellation has always in the preprocessing steps before the signals are converted to feature vectors and pattern classification. This is always the correct flow of speech identification. Therefore, in order to get the best cleaned signal, the usage of adaptive echo cancellation removed the ec...
| Principais autores: | , , , , |
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| Formato: | Conference or Workshop Item |
| Idioma: | English |
| Publicado em: |
IEEE
2017
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| Acesso em linha: | http://psasir.upm.edu.my/id/eprint/59521/1/Sequential%20parameterizing%20affine%20projection%20%28SPAP%29%20windowing%20length%20for%20acoustic%20echo%20cancellation%20on%20speech%20accents%20identification.pdf |
| _version_ | 1825932016364814336 |
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| author | Kamarudin, Noraziahtulhidayu Syed Mohamed, Syed Abdul Rahman Al-Haddad Mohamed Khmag, Asem Ib. Hashim, Shaiful Jahari Hassan, Abd Rauf |
| author_facet | Kamarudin, Noraziahtulhidayu Syed Mohamed, Syed Abdul Rahman Al-Haddad Mohamed Khmag, Asem Ib. Hashim, Shaiful Jahari Hassan, Abd Rauf |
| author_sort | Kamarudin, Noraziahtulhidayu |
| collection | UPM |
| description | Echo cancellation has always in the preprocessing steps before the signals are converted to feature vectors and pattern classification. This is always the correct flow of speech identification. Therefore, in order to get the best cleaned signal, the usage of adaptive echo cancellation removed the echo and also the noise which deteriorates the signals and final results during classification process. The concepts of windowing length may improve the cleaned signals acquired after the noise or echo cancellation process is done. By proposing the preconfigured windowing length through sequential technique, the results is giving improvement from normal length of 200ms to 400ms whereby the results of Word Error Rate (WER), Equal Error Rate (EER) and accuracies can be viewed with increases around 5-10% of percentage values compared with echoed signal and reduced the WER and EER too with applying of the sequential parameterization (SPAP) technique. |
| first_indexed | 2024-03-06T09:35:31Z |
| format | Conference or Workshop Item |
| id | upm.eprints-59521 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:35:31Z |
| publishDate | 2017 |
| publisher | IEEE |
| record_format | dspace |
| spelling | upm.eprints-595212018-03-08T02:41:27Z http://psasir.upm.edu.my/id/eprint/59521/ Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification Kamarudin, Noraziahtulhidayu Syed Mohamed, Syed Abdul Rahman Al-Haddad Mohamed Khmag, Asem Ib. Hashim, Shaiful Jahari Hassan, Abd Rauf Echo cancellation has always in the preprocessing steps before the signals are converted to feature vectors and pattern classification. This is always the correct flow of speech identification. Therefore, in order to get the best cleaned signal, the usage of adaptive echo cancellation removed the echo and also the noise which deteriorates the signals and final results during classification process. The concepts of windowing length may improve the cleaned signals acquired after the noise or echo cancellation process is done. By proposing the preconfigured windowing length through sequential technique, the results is giving improvement from normal length of 200ms to 400ms whereby the results of Word Error Rate (WER), Equal Error Rate (EER) and accuracies can be viewed with increases around 5-10% of percentage values compared with echoed signal and reduced the WER and EER too with applying of the sequential parameterization (SPAP) technique. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/59521/1/Sequential%20parameterizing%20affine%20projection%20%28SPAP%29%20windowing%20length%20for%20acoustic%20echo%20cancellation%20on%20speech%20accents%20identification.pdf Kamarudin, Noraziahtulhidayu and Syed Mohamed, Syed Abdul Rahman Al-Haddad and Mohamed Khmag, Asem Ib. and Hashim, Shaiful Jahari and Hassan, Abd Rauf (2017) Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification. In: 2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (EBBT), 20-21 Apr. 2017, Istanbul, Turkey. . 10.1109/EBBT.2017.7956787 |
| spellingShingle | Kamarudin, Noraziahtulhidayu Syed Mohamed, Syed Abdul Rahman Al-Haddad Mohamed Khmag, Asem Ib. Hashim, Shaiful Jahari Hassan, Abd Rauf Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title | Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title_full | Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title_fullStr | Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title_full_unstemmed | Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title_short | Sequential parameterizing affine projection (SPAP) windowing length for acoustic echo cancellation on speech accents identification |
| title_sort | sequential parameterizing affine projection spap windowing length for acoustic echo cancellation on speech accents identification |
| url | http://psasir.upm.edu.my/id/eprint/59521/1/Sequential%20parameterizing%20affine%20projection%20%28SPAP%29%20windowing%20length%20for%20acoustic%20echo%20cancellation%20on%20speech%20accents%20identification.pdf |
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