Which phoneme-to-viseme maps best improve visual-only computer lip-reading?

Book chapter

Bear, Y., Harvey, Richard W., Theobald, Barry-John and Lan, Yuxuan 2014. Which phoneme-to-viseme maps best improve visual-only computer lip-reading? in: Bebis, George, Boyle, Richard, Parvin, Bahram, Koracin, Darko, McMahan, Ryan, Jerald, Jason, Zhang, Hui, Drucker, Steven M., Kambhamettu, Chandra, Choubassi, Maha El, Deng, Zhigang and Carlson, Mark (ed.) Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II Springer International Publishing.
AuthorsBear, Y., Harvey, Richard W., Theobald, Barry-John and Lan, Yuxuan
EditorsBebis, George, Boyle, Richard, Parvin, Bahram, Koracin, Darko, McMahan, Ryan, Jerald, Jason, Zhang, Hui, Drucker, Steven M., Kambhamettu, Chandra, Choubassi, Maha El, Deng, Zhigang and Carlson, Mark
Abstract

A critical assumption of all current visual speech recognition systems is that there are visual speech units called visemes which can be mapped to units of acoustic speech, the phonemes. Despite there being a number of published maps it is infrequent to see the effectiveness of these tested, particularly on visual-only lip-reading (many works use audio-visual speech). Here we examine 120 mappings and consider if any are stable across talkers. We show a method for devising maps based on phoneme confusions from an automated lip-reading system, and we present new mappings that show improvements for individual talkers.

Book titleAdvances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part II
Year2014
PublisherSpringer International Publishing
Publication dates
PrintDec 2014
Publication process dates
Deposited28 Feb 2017
Event10th International Symposium, ISVC 2014
ISBN978-3-319-14363-7
978-3-319-14364-4
ISSN0302-9743
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-14364-4_22
Web address (URL)http://doi.org/10.1007/978-3-319-14364-4_22
Additional information

Bear, H.L., Harvey, R.W., Theobald, B.J. and Lan, Y., 2014, December. Which phoneme-to-viseme maps best improve visual-only computer lip-reading?. In International Symposium on Visual Computing (pp. 230-239). Springer International Publishing.

JournalLecture Notes in Computer Science
Journal citation8888, pp. 230-239
Accepted author manuscript
License
CC BY-NC-ND
Permalink -

https://repository.uel.ac.uk/item/85837

Log in to edit

Download files

  • 93
    total views
  • 942
    total downloads
  • 0
    views this month
  • 28
    downloads this month

Export as

Related outputs

Resolution limits on visual speech recognition
Bear, Y., Harvey, Richard, Theobald, Barry-John and Lan, Yuxuan 2014. Resolution limits on visual speech recognition. in: IEEE International Conference on Image Processing (ICIP) IEEE.
Some observations on computer lip-reading: moving from the dream to the reality
Bear, Y., Owen, Gari, Harvey, Richard and Theobald, Barry-John 2014. Some observations on computer lip-reading: moving from the dream to the reality. Proceedings of SPIE. 9253. https://doi.org/10.1117/12.2067464
Decoding visemes: Improving machine lip-reading
Bear, Y. and Harvey, Richard 2016. Decoding visemes: Improving machine lip-reading. in: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) IEEE.
Finding phonemes: improving machine lip-reading
Bear, Y., Harvey, Richard W. and Lan, Yuxuan 2015. Finding phonemes: improving machine lip-reading. FAAVSP - The 1st Joint Conference on Facial Analysis, Animation and Auditory-Visual Speech Processing. Education Centre of the Jesuits, Vienna, Austria 11 - 13 Sep 2015 International Speech Communication Association. pp. 115-120
Speaker-independent machine lip-reading with speaker-dependent viseme classifiers
Bear, Y., Cox, Stephen J. and Harvey, Richard W. 2015. Speaker-independent machine lip-reading with speaker-dependent viseme classifiers. FAAVSP - The 1st Joint Conference on Facial Analysis, Animation, and Auditory-Visual Speech Processing. Education Centre of the Jesuits, Vienna, Austria 11 - 13 Sep 2015 International Speech Communication Association. pp. 190-195
Phoneme-to-viseme mappings: the good, the bad, and the ugly
Bear, Y. and Harvey, Richard 2017. Phoneme-to-viseme mappings: the good, the bad, and the ugly. Speech Communication. 95, pp. 40-67. https://doi.org/10.1016/j.specom.2017.07.001
Comparing phonemes and visemes with DNN-based lipreading
Thangthai, Kwanchiva, Bear, Y. and Harvey, Richard 2017. Comparing phonemes and visemes with DNN-based lipreading. 28th British Machine Vision Conference. London, UK 04 - 07 Sep 2017 BMVA Press.
Visual speech recognition: aligning terminologies for better understanding
Bear, Y. and Taylor, Sarah L. 2017. Visual speech recognition: aligning terminologies for better understanding. 28th British Machine Vision Conference. London, UK 04 - 07 Sep 2017 BMVA Press.
Visual gesture variability between talkers in continuous speech
Bear, Y. 2017. Visual gesture variability between talkers in continuous speech. 28th British Machine Vision Conference. London, UK 04 - 07 Sep 2017 BMVA Press.