@InProceedings{Huo2007_484,
<br/>   author = {Lu Huo and Ulrich Heute},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2007},
<br/>   title = {ASR Failure Prediction Based on Signal Measures},
<br/>   year = {2007},
<br/>   editor = {Klaus Fellbaum},
<br/>   month = mar,
<br/>   pages = {137--142},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {In a spoken-dialogue system, it is useful to know to which extent the automatic
speech recognizer (ASR) can overcome the adversary environment of a real-world
telephone system and still produce correct recognition results. This kind of
information, from the system developer’s point of view, can be used to adjust the
recognition-result handling; and from the system-manager’s point of view, can be
used as an important system-evaluation factor. In this work, we study signal-based
measures that influence the recognition performance, and we try to build a prediction
model for the “Lucy” database.},
<br/>   isbn = {978-3-940046-40-6},
<br/>   issn = {0940-6832},
<br/>   keywords = {Signalverarbeitung},
<br/>   url = {https://www.essv.de/pdf/2007_137_142.pdf},
<br/>}