www.hiwire.org The HIWIRE project aims to make significant improvements to the robustness, naturalness, and flexibility of vocal interaction between humans and machines. The technological breakthrough targeted in this project will deeply impact future activities by: enabling the introduction of vocal dialogue with equipment in commercial aircraft cockpits; improving the potential for vocal interaction with PDAs and other mobile devices in aeronautic application environments. • • HIWIRE HIWIRE HIWIRE Human Inputs that Work In Real Environment Human Inputs that Work In Real Environment Objectives of HIWIRE The overall objective of the HIWIRE project is to set the basis for much more dependable speech recognition in mobile, open and noisy environments and provoke the necessary technical breakthroughs. HIWIRE is going well beyond the current state-of-the-art for robust vocal dialogue involving large flexible vocabularies, by: Making significant improvements to the robustness of speech recognition in noisy environments (mostly unpredictable noises like those encountered in cockpits with dense audio traffic or factory noise…). Making significant improvements to the robustness of speech recognition to different users’ voices and interaction abilities (including speakers’ vocal individuality, different accents, non-native speech, dialogue skills…). Evaluating the potential impact of more robust speech recognition in real-world applications and in particular: fixed installation for cockpit command and control application on a mobile platform in an open environment for professional users such as maintenance engineers. Project Description The project focuses on a speech recognition system robust to unpredictable and non- stationary acoustic noises, able to interact with the user through a flexible vocabulary up to several thousand of words and to adapt to the user typical voices, even in case of non- native voices. Considering an interaction in a plane, any error of the speech recognition may distract the pilot, force him or her to enter in complex correction procedures, and thus have a negative impact on safety. Robust vocal interaction and contribution of multimodal dialogue enhance this dependability. The project has realized two applicative platforms: a vocal application interacting with a cockpit simulator and a multimodal application running on a handheld device for aeronautic maintenance reports, which allows the filling of maintenance reports simply using the voice, providing the user with visual feedbacks. • • • • • HIWIRE is a project co-financed by the EC within the 6th Framework Programme

HIWIRE Human Inputs that Work In Real Environment

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The HIWIRE project aims to make significant improvements to the robustness, naturalness, and flexibility of vocal interaction between humans and machines. The technological breakthrough targeted in this project will deeply impact future activities by:

enabling the introduction of vocal dialogue with equipment in commercial aircraft cockpits;improving the potential for vocal interaction with PDAs and other mobile devices in aeronautic application environments.

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HIWIREHIWIREHIWIREHuman Inputs that Work In Real EnvironmentHuman Inputs that Work In Real Environment

Objectives of HIWIRE

The overall objective of the HIWIRE project is to set the basis for much more dependable speech recognition in mobile, open and noisy environments and provoke the necessary technical breakthroughs.

HIWIRE is going well beyond the current state-of-the-art for robust vocal dialogue involving large flexible vocabularies, by:

Making significant improvements to the robustness of speech recognition in noisy environments (mostly unpredictable noises like those encountered in cockpits with dense audio traffic or factory noise…).Making significant improvements to the robustness of speech recognition to different users’ voices and interaction abilities (including speakers’ vocal individuality, different accents, non-native speech, dialogue skills…).Evaluating the potential impact of more robust speech recognition in real-world applications and in particular:

fixed installation for cockpit command and controlapplication on a mobile platform in an open environment for professional users such as maintenance engineers.

Project Description

The project focuses on a speech recognition system robust to unpredictable and non-stationary acoustic noises, able to interact with the user through a flexible vocabulary up to several thousand of words and to adapt to the user typical voices, even in case of non-native voices.

Considering an interaction in a plane, any error of the speech recognition may distract the pilot, force him or her to enter in complex correction procedures, and thus have a negative impact on safety. Robust vocal interaction and contribution of multimodal dialogue enhance this dependability.

The project has realized two applicative platforms: a vocal application interacting with a cockpit simulator and a multimodal application running on a handheld device for aeronautic maintenance reports, which allows the filling of maintenance reports simply using the voice, providing the user with visual feedbacks.

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HIWIRE is a project co-financed by the EC within the 6th Framework Programme

HIWIRE

Expected ImpactMain impact of HIWIRE project is related to eSafety for air transport through highly dependable interfaces. HIWIRE results will highly improve performances of exchanges between crews and traffic control, whose standard language is English whereas crew can come from all part of the world. A dialogue system in future cockpits will improve the efficiency and the safety of the global air traffic management.

HIWIRE will provide citizens with interfaces that are intuitive and usable by anybody. Today, even for quiet applications of speech recognition, like call centres, a part of the population is not able to use the service due to pronunciation problems; HIWIRE outcomes will ensure that the technology will benefit all citizens and will not contribute to the creation of social gaps.

Consortium

THALES AVIONICS FRANCE

THALES RESEARCH FRANCE

LOQUENDO ITALY

TSI-TUC GREECE

GSTC-UGR SPAIN

ICSS-NTUA GREECE

INRIA-LORIA FRANCE

ITC-IRST ITALY

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iwire

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