Automatic Speech Intelligibility Detection for Speakers with Speech Impairments: The Identification of Significant Speech Features
Selection of relevant features is important for discriminating speech in detection based ASR system, thus contributing to the improved performance of the detector. In the context of speech impairments, speech errors can be discriminated from regular speech by adopting the appropriate discriminative...
Main Authors: | Rosdi, Fadhilah, Mustafa, Mumtaz Begum, Salim, Siti Salwah, Mat Zin, Nor Azan |
---|---|
Format: | Article |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2019
|
Subjects: |
Similar Items
-
An FPN-based classification method for speech intelligibility detection of children with speech impairments
by: Rosdi, Fadhilah, et al.
Published: (2019) -
A two stage adaptation towards automatic speech recognition system for children
by: Mumtaz Begum, M., et al.
Published: (2016) -
Impaired speech recognition
by: Lam, Michelle Su-Ann
Published: (2024) -
Robust speech features and acoustic models for speech recognition
by: Xiao, Xiong
Published: (2010) -
An isolated speech endpoint detector using multiple speech features
by: Ahmad, Abdul Manan, et al.
Published: (2004)