@InProceedings{Mann2007_492,
<br/>   author = {Sandra Mann and André Berton and Ute Ehrlich},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2007},
<br/>   title = {A Multimodal Dialogue System for Interacting with Large Audio Databases in the Car},
<br/>   year = {2007},
<br/>   editor = {Klaus Fellbaum},
<br/>   month = mar,
<br/>   pages = {202--209},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {The variety and complexity of audio storage devices nowadays available
in automotive systems turn selecting audio data into a cumbersome task. How can
users comfortably access particular audio data in a variety of media carriers
containing large amounts of audio data while actually pursuing the driving task?
Browsing logical and physical hierarchies can heavily increase driver distraction.
This paper proposes a speech-based approach that significantly facilitates accessing
database items. It consists of two interaction concepts: the concept for categorybased
search requiring pre-selecting a category (e.g. artist, title, genre, etc.), and the
concept for category-free search allowing the user to search globally across all
categories. In both concepts search space comprises all media carriers. The user may
directly address audio data items by saying the corresponding name. However,
evidence was taken from address book data that users do not perform well when it
comes to remembering the exact name of an item. We therefore create additional
wording variants to allow for fault-tolerant search. This is achieved by means of
filter- and recombination rules. Thus users, who do not remember an item correctly
are still able to find it when speaking only parts thereof.},
<br/>   isbn = {978-3-940046-40-6},
<br/>   issn = {0940-6832},
<br/>   keywords = {Anwendungen im Kraftfahrzeug},
<br/>   url = {https://www.essv.de/pdf/2007_202_209.pdf},
<br/>}