Speech Interface for controlling an Hi-fi Audio System Based(3)

to new different domains since portability is ensured following the proposed principles of design.

In the future, we hope to have available training data from

we can automatically learn the BN thus avoiding hand-assigned probabilities. We have also incorporated a dialog strategy in order to handle partially observed goals. This strategy is aimed for recovering the omitted information from

the dialog context. Suitability has been demonstrated in several cases considering a different omitted element from the dialog frame each time.

We plan to distinguish between long term and short term memory. The aim of this distinction is to give more relevance

to the short term observations respect to the long term ones since human mind behaves this way in some sense. Exactly,

we would expect the system to automatically reject the erroneous and spurious observations. Thus, we would not need any explicit negation for those observations since they are not referenced by the user anymore.

5.Acknowledgements

This work has been partially funded by the Spanish Ministry

of Science and Technology under contracts: DPI2001-3652-

C02-02 (URBANO-IVANHOE), TIC2003-09192-C11-07 (MIDAS-INAUDITO), and DPI2004-07908-C02-02 (ROBINT).

6.References

[1]J.Ferreiros, J.Colás, J.Macías, A.Ruiz and J.M.Pardo,

“Controlling a HIFI with a continuous speech

understanding system”. ICSLP 1998, Sydney, Australia,

ISBN 1-876346-17-5

[2]J.Ferreiros, J.Colás, J.Macías, R.Córdoba and J.M.Pardo,

“Control de un equipo de alta fidelidad usando frases

habladas de manera natural”. Iberdiscap 2000, Madrid,

Spain.

[3]H.M.Meng, C.Wai and R.Pieraccini. “The Use of Belief

Networks for Mixed-Initiative Dialog Modeling”, IEE

Transactions on Speech and Audio Processing, Vol.11,

NO.6, pps. 757-773, 2003.

[4] C.Huang and A.Darwiche, “Inference in belief networks:

a procedural guide”. International Journal of

Approximate Reasoning 1994 11:1-158. USA.

[5]H.M.Meng, 166ee1e8172ded630b1cb6a8m and K.F.Low. “Learning Belief

Networks for Language Understanding”. ASRU 1999.

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