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...

Full description

Saved in:
Bibliographic Details
Main Authors: Kamarudin, Noraziahtulhidayu, Syed Mohamed, Syed Abdul Rahman Al-Haddad, Mohamed Khmag, Asem Ib., Hashim, Shaiful Jahari, Hassan, Abd Rauf
Format: Conference or Workshop Item
Language:en
Published: IEEE 2017
Online Access: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
http://psasir.upm.edu.my/id/eprint/59521/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832525398449061888
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
building UPM Library
collection Institutional Repository
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
continent Asia
country Malaysia
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.
format Conference or Workshop Item
id my.upm.eprints-59521
institution Universiti Putra Malaysia
language en
publishDate 2017
publisher IEEE
record_format eprints
spelling my.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
http://psasir.upm.edu.my/id/eprint/59521/
url_provider http://psasir.upm.edu.my/