Multimodal Data Fusion of Electromyography and Acoustic Signals for Thai Syllable Recognition

Multimodal Data Fusion of Electromyography and Acoustic Signals for Thai Syllable Recognition

Speech disorders such as dysarthria are common and frequent after suffering a stroke. Speech rehabilitation performed by a speech-language pathologist is needed to improve and recover. However, in Thailand, there is a shortage of speech-language pathologists. In this paper, we present a syllable rec...

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Bibliographic Details
Main Authors: De Herrera, A.G.S (Author), Jong, N.S (Author), Phukpattaranont, P. (Author)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:
acoustic signal
Acoustic signal
Acoustic waves
acoustics
Acoustics
adult
algorithm
Algorithms
Article
artificial neural network
auditory stimulation
auditory system parameters
Biomedical signal processing
Classification accuracy
Data fusion
decision tree
discriminant analysis
electric activity
electromyography
Electromyography
exercise
Extreme learning machine
face muscle
feature-level fusion
frequency analysis
hearing
human
human experiment
Humans
Learning systems
machine learning
male
measurement accuracy
Mel frequency cepstral co-efficient
Multimodal data fusion
multimodal fusion
normal human
prevalence
recording
Rehabilitation exercise
signal noise ratio
speech
Speech
speech discrimination
speech intelligibility
speech language pathologist
Speech language pathologists
speech recognition
Speech recognition
speech rehabilitation
Speech rehabilitation
support vector machine
Surface electromyography
syllable recognition
task performance
Thailand
training
waveform
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