Títol:
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Towards estimating the upper bound of visual-speech recognition:
the visual lip-reading feasibility databas
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Autor/a:
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Fernandez-Lopez, Adriana; Martinez, Oriol; Sukno, Federico Mateo
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Abstract:
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Comunicació presentada a: FG 2017 12th IEEE International Conference on Automatic Face and Gesture Recognition, celebrada del 30 de maig al 3 de juny de 2017 a Washington, Estats Units d'Amèrica. |
Abstract:
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Speech is the most used communication method
between humans and it involves the perception of auditory and
visual channels. Automatic speech recognition focuses on interpreting
the audio signals, although the video can provide information
that is complementary to the audio. Exploiting the visual
information, however, has proven challenging. On one hand,
researchers have reported that the mapping between phonemes
and visemes (visual units) is one-to-many because there are
phonemes which are visually similar and indistinguishable
between them. On the other hand, it is known that some people
are very good lip-readers (e.g: deaf people). We study the limit
of visual only speech recognition in controlled conditions. With
this goal, we designed a new database in which the speakers
are aware of being read and aim to facilitate lip-reading. In
the literature, there are discrepancies on whether hearingimpaired
people are better lip-readers than normal-hearing
people. Then, we analyze if there are differences between
the lip-reading abilities of 9 hearing-impaired and 15 normalhearing
people. Finally, human abilities are compared with the
performance of a visual automatic speech recognition system.
In our tests, hearing-impaired participants outperformed the
normal-hearing participants but without reaching statistical
significance. Human observers were able to decode 44% of
the spoken message. In contrast, the visual only automatic
system achieved 20% of word recognition rate. However, if
we repeat the comparison in terms of phonemes both obtained
very similar recognition rates, just above 50%. This suggests
that the gap between human lip-reading and automatic speechreading
might be more related to the use of context than to the
ability to interpret mouth appearance. |
Abstract:
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This work is partly supported by the Spanish Ministry
of Economy and Competitiveness under the Ramon y Cajal
fellowships and the Maria de Maeztu Units of Excellence
Programme (MDM-2015-0502), and the Kristina project
funded by the European Union Horizon 2020 research and |
Matèries:
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-Visualization -Speech recognition -Speech -Context -Visual databases -Decoding |
Drets:
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© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The final published article can be found at http://ieeexplore.ieee.org/document/7961743/ |
Tipus de document:
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Objecte de conferència Article - Versió acceptada |
Publicat per:
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Institute of Electrical and Electronics Engineers (IEEE)
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