WADA-W: A modified WADA SNR estimator for audio-visual speech recognition
One of the main challenges in speech recognition is developing systems that are robust to contamination by intrusive background noise. In audio-visual speech recognition (AVSR), audio information is augmented by visual information in order to help improve the performance of speech recognition, parti...
Main Authors: | Thum, Wei Seong, M. Z., Ibrahim, Mulvaney, D. J. |
---|---|
Format: | Article |
Language: | English |
Published: |
International Association of Computer Science and Information Technology
2019
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/22251/ http://umpir.ump.edu.my/id/eprint/22251/ http://umpir.ump.edu.my/id/eprint/22251/ http://umpir.ump.edu.my/id/eprint/22251/13/WADA-W_A%20Modified%20WADA%20SNR.pdf |
Similar Items
-
Development on SNR estimator for audio-visual speech recognition based on waveform amplitude distribution analysis
by: Thum, Wei Seong
Published: (2018) -
A review of audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2018) -
Result comparison of model validation techniques on audio-visual speech recognition
by: Thum, Wei Seong, et al.
Published: (2017) -
Feature-Fusion based Audio-Visual Speech Recognition using Lip Geometry Features in Noisy Environment
by: M. Z., Ibrahim, et al.
Published: (2015) -
A novel lip geometry approach for audio-visual speech recognition
by: Mohd Zamri, Ibrahim
Published: (2014)