Accent identification of Malaysian and Nigerian English based on acoustic features
Purpose - This paper studies acoustics features of energy, pitch and formants of Malaysian and Nigerian English vowels with the aim of effective accents identification using multi liner regression (MLR) and linear discriminant analysis (LDA) classifiers for performance improvement of ASR when expos...
Main Authors: | Atanda, Abdulwahab F., Mohd Yusof, Shahrul Azmi, Husni, Husniza |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/24494/1/SICONSEM%202017%2028%2030.pdf |
Similar Items
-
Double-stage features extraction for Malays vowel classification using multinomial logistic regression
by: Yusof, S. A. M., et al.
Published: (2018) -
An improved feature extraction method for Malay vowel recognition based on spectrum delta
by: Mohd Yusof, Shahrul Azmi
Published: (2014) -
Fireflyclust: an automated hierarchical text clustering approach
by: Mohammed, Athraa Jasim, et al.
Published: (2017) -
Evaluation of automated phonetic labeling and
segmentation for dyslexic children’s speech
by: Husni, Husniza, et al.
Published: (2013) -
GF-CLUST: A nature-inspired algorithm for automatic text clustering
by: Mohammed, Athraa Jasim, et al.
Published: (2016)