@InProceedings{John2013_117,
<br/>   author = {Tina John and Oliver Niebuhr and Gerhard Schmidt and Anne Theiß},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2013.},
<br/>   title = {Phonetic analysis vs. dirty signals: Fixing the paradox},
<br/>   year = {2013},
<br/>   editor = {Petra Wagner},
<br/>   month = mar,
<br/>   pages = {136--143},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {Noisy speech signals and phonetic data analysis: two phrases that rarely
occur in the same context. This paper shows that noise cancellation and noise
suppression methods can clean noisy speech signals to such an extent that they can
be reliably segmented into phones semi-automatically using appropriate tools such as
the Munich Automatic Segmentation Tool. This finding brings noisy signals and
phonetic data analysis closer together.},
<br/>   isbn = {978-3-944331-03-4},
<br/>   issn = {0940-6832},
<br/>   keywords = {Werkzeuge und Messverfahren},
<br/>   url = {https://www.essv.de/pdf/2013_136_143.pdf},
<br/>}