Abstract
After decades of research, automatic speech processing has become more and more viable in recent years. Audio-video speech recognition has been shown to improve the recognition rate in noise-degraded environments. However, which audio and video speech parameters to choose for an optimal system and how they are related is still an open research issue. Here we present a number of statistical analyses that aim at increasing our understanding of such audio-video relationships. In particular, we look at the canonical correlation analysis and the coinertia analysis which investigate the relationship of linear combinations of parameters. The analyses are performed on Australian English as an example.
Original language | English |
---|---|
Pages | 133-138 |
Number of pages | 6 |
Publication status | Published - 2003 |
Event | 2003 International Conference on Audio-Visual Speech Processing, AVSP 2003 - St. Jorioz, France Duration: 4 Sept 2003 → 7 Sept 2003 |
Conference
Conference | 2003 International Conference on Audio-Visual Speech Processing, AVSP 2003 |
---|---|
Country/Territory | France |
City | St. Jorioz |
Period | 4/09/03 → 7/09/03 |