Severity-based adaptation with limited data for ASR to aid dysarthric speakers
Automatic speech recognition (ASR) is currently used in many assistive technologies, such as helping individuals with speech impairment in their communication ability. One challenge in ASR for speech-impaired individuals is the difficulty in obtaining a good speech database of impaired speakers for...
Saved in:
Main Authors: | Mustafa, Mumtaz Begum, Salim, Siti Salwah, Mohamed, Noraini, Al-Qatab, Bassam, Siong, Chng Eng |
---|---|
Other Authors: | Snyder, Joel |
Format: | Article |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/97554 http://hdl.handle.net/10220/19606 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech
by: Yilmaz, Emre, et al.
Published: (2019) -
Dysarthric speech characteristics of Thai stroke patients
by: Sriwimon Manochiopinig, et al.
Published: (2018) -
Continual learning optimizations for auto-regressive decoder of multilingual ASR systems
by: Kwok, Chin Yuen, et al.
Published: (2024) -
Multi-stage DNN training for automatic recognition of dysarthric speech
by: Yilmaz E., et al.
Published: (2018) -
A Dutch dysarthric speech database for individualized speech therapy research
by: Yilmaz E., et al.
Published: (2018)