@InProceedings{Höge2010_562,
<br/>   author = {Harald Höge and Panji Setiawan},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2010},
<br/>   title = {Improvements of Hidden Chunk Models},
<br/>   year = {2010},
<br/>   editor = {Hansjörg Mixdorff},
<br/>   month = mar,
<br/>   pages = {220--227},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {The statistical properties of segments [8] using a specific acoustic model
called the hidden chunk model (HCM) is investigated. We call the sequence of
feature vectors assigned to a segment a chunk of length l. The HCM still assumes
that the feature vectors are statistically independent. In contrast to hidden Markov
model (HMM) we introduce emission probabilities which depend on l. Segment
error rates (SERs) are calculated on a database with over 33 million chunks aligned
to 607 segments. The HCM achieves more than 10%absolute improvement in SER
compared to the HMM. Based on the estimated Shannon’s entropy, the proposed
HCM model paves the way to create acoustic models which are heading towards
the lowest possible SER.},
<br/>   isbn = {978-3-941298-85-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Speech Recognition},
<br/>   url = {https://www.essv.de/pdf/2010_220_227.pdf},
<br/>}