AAM Based Features for Multiple Camera Visual Speech Recognition in Car Environment-Reference-Cited by-同舟云学术

AAM Based Features for Multiple Camera Visual Speech Recognition in Car Environment

Published:2015 Issue: Volume:57 Page:614-621
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Biswas Astik,Sahu P.K.,Bhowmick Anirban,Chandra Mahesh

Publisher

Elsevier BV

Subject

General Engineering

Reference14 articles.

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3. Lip geometric features for human–computer interaction using bimodal speech recognition: comparison and analysis;Kaynak;Speech communication,2004

4. Multiple cameras for audio-visual speech recognition in an automotive environment;Navarathna;Computer Speech & Language,2013

5. Lucey, P., Potamianos, G. Lipreading using profile versus frontal views. In: Multimedia Signal Processing, 2006 IEEE 8th Workshop on. IEEE; 2006, p. 24-28.

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1. Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin;IEEE Access;2021

2. Effect of Processing Combined MFCC and DSCC Features with QCN for Hindi Vowel Classification in Noisy Environments;Nanoelectronics, Circuits and Communication Systems;2018-08-02

3. Study of landmarks estimation stability produced by AAM;SPIE Proceedings;2017-06-26

4. Multiple cameras audio visual speech recognition using active appearance model visual features in car environment;International Journal of Speech Technology;2016-01-23

5. Multiple camera in car audio–visual speech recognition using phonetic and visemic information;Computers & Electrical Engineering;2015-10