@InProceedings{Bissiri2013_131,
<br/>   author = {Maria Paola Bissiri and Ivan Kraljevski and Rüdiger Hoffmann},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2013.},
<br/>   title = {Improved phoneme segmentation of German-accented English by means of lexicon and acoustic model adaptation},
<br/>   year = {2013},
<br/>   editor = {Petra Wagner},
<br/>   month = mar,
<br/>   pages = {231--238},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {In the present study, a German ASR system was used to perform phoneme
segmentation of German-accented English speech. The phoneme models were
created on German training data and the used lexicon consisted of English words
whose pronunciation was represented by means of the German phoneme inventory.
The production of accurate segmentation is significantly affected by the language
mismatch between the German training data and the German-accented English test
data. In order to reduce this mismatch, enhancement of the lexicon and of the
phoneme models was performed. The lexicon was enhanced by means of
pronunciation rules for German-accented English and according to recognition
results analysis. Acoustic model adaptation was carried out to reduce mismatch
regarding language and recording differences between training and test data. Lexicon
enhancement and acoustic model adaptation improved recognition accuracy
providing a reliable phoneme and word segmentation framework.},
<br/>   isbn = {978-3-944331-03-4},
<br/>   issn = {0940-6832},
<br/>   keywords = {Sprach- und Sprechererkennung},
<br/>   url = {https://www.essv.de/pdf/2013_231_238.pdf},
<br/>}