A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities
Audio-visual recognition system is becoming popular because it overcomes certain problems of traditional audio-only recognition system. However, difficulties due to visual variations in video sequencecan significantly degrade the recognition performance of the system. This problem can be further com...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier BV, North-Holland
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/13681 |
| _version_ | 1848748410997309440 |
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| author | Wong, Y.W. Ch’ng, S.I. Seng, K.P. Ang, L. Chin, S.W. Chew, W.J. Lim, Hann |
| author_facet | Wong, Y.W. Ch’ng, S.I. Seng, K.P. Ang, L. Chin, S.W. Chew, W.J. Lim, Hann |
| author_sort | Wong, Y.W. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Audio-visual recognition system is becoming popular because it overcomes certain problems of traditional audio-only recognition system. However, difficulties due to visual variations in video sequencecan significantly degrade the recognition performance of the system. This problem can be further complicated when more than one visual variation happen at the same time. Although several databases have been created in this area, none of them includes realistic visual variations in video sequence. With the aim to facilitate the development of robust audio-visual recognition systems, the new audio-visualUNMC-VIER database is created. This database contains various visual variations including illumination,facial expression, head pose, and image resolution variations. The most unique aspect of this database is that it includes more than one visual variation in the same video recording. For the audio part, the utterances are spoken in slow and normal speech pace to improve the learning process of audio-visual speech recognition system. Hence, this database is useful for the development of robust audio-visual person,speech recognition and face recognition systems. |
| first_indexed | 2025-11-14T07:04:37Z |
| format | Journal Article |
| id | curtin-20.500.11937-13681 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:04:37Z |
| publishDate | 2011 |
| publisher | Elsevier BV, North-Holland |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-136812017-09-13T15:00:25Z A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities Wong, Y.W. Ch’ng, S.I. Seng, K.P. Ang, L. Chin, S.W. Chew, W.J. Lim, Hann Audio-visual database Speech recognition Face recognition Visual variation Audio-visual recognition system is becoming popular because it overcomes certain problems of traditional audio-only recognition system. However, difficulties due to visual variations in video sequencecan significantly degrade the recognition performance of the system. This problem can be further complicated when more than one visual variation happen at the same time. Although several databases have been created in this area, none of them includes realistic visual variations in video sequence. With the aim to facilitate the development of robust audio-visual recognition systems, the new audio-visualUNMC-VIER database is created. This database contains various visual variations including illumination,facial expression, head pose, and image resolution variations. The most unique aspect of this database is that it includes more than one visual variation in the same video recording. For the audio part, the utterances are spoken in slow and normal speech pace to improve the learning process of audio-visual speech recognition system. Hence, this database is useful for the development of robust audio-visual person,speech recognition and face recognition systems. 2011 Journal Article http://hdl.handle.net/20.500.11937/13681 10.1016/j.patrec.2011.06.011 Elsevier BV, North-Holland restricted |
| spellingShingle | Audio-visual database Speech recognition Face recognition Visual variation Wong, Y.W. Ch’ng, S.I. Seng, K.P. Ang, L. Chin, S.W. Chew, W.J. Lim, Hann A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title | A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title_full | A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title_fullStr | A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title_full_unstemmed | A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title_short | A new multi-purpose audio-visual UNMC-VIER database with multiple variabilities |
| title_sort | new multi-purpose audio-visual unmc-vier database with multiple variabilities |
| topic | Audio-visual database Speech recognition Face recognition Visual variation |
| url | http://hdl.handle.net/20.500.11937/13681 |