@InProceedings{Gebauer2023_1176,
<br/>   author = {Christopher Gebauer and Lars Rumberg and Jörn Ostermann},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2023},
<br/>   title = {Pronunciation Modelling for Children’s Speech},
<br/>   year = {2023},
<br/>   editor = {Christoph Draxler},
<br/>   month = mar,
<br/>   pages = {79--86},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {The accuracy of automatic speech processing systems for children’s
speech lags heavily behind the accuracy of systems for adult speech. One of the
reasons is a high pronunciation variability in children’s speech. Modeling this variability
can be effective to increase performance. We investigate whether MAUS, a
system developed for phonemic segmentation and trained on adult speech, which
explicitly models deviations from canonical pronunciations, can be applied to children’s
speech. We compare it to a recently presented system trained on children’s
speech. We evaluate whether the systems can capture pronunciation variability as
well as the performance on phonemic segmentation.},
<br/>   isbn = {978-3-95908-303-4},
<br/>   issn = {0940-6832},
<br/>   keywords = {Child Speech},
<br/>   url = {https://www.essv.de/pdf/2023_79_86.pdf},
<br/>}