ISCA Archive Interspeech 2017
ISCA Archive Interspeech 2017

Mel-Cepstral Distortion of German Vowels in Different Information Density Contexts

Erika Brandt, Frank Zimmerer, Bistra Andreeva, Bernd Möbius

This study investigated whether German vowels differ significantly from each other in mel-cepstral distortion (MCD) when they stand in different information density (ID) contexts. We hypothesized that vowels in the same ID contexts are more similar to each other than vowels that stand in different ID conditions. Read speech material from PhonDat2 of 16 German natives (m = 10, f = 6) was analyzed. Bi-phone and word language models were calculated based on DeWaC. To account for additional variability in the data, prosodic factors, as well as corpus-specific frequency values were also entered into the statistical models. Results showed that vowels in different ID conditions were significantly different in their MCD values. Unigram word probability and corpus-specific word frequency showed the expected effect on vowel similarity with a hierarchy between non-contrasting and contrasting conditions. However, these did not form a homogeneous group since there were group-internal significant differences. The largest distance can be found between vowels produced at fast speech rate, and between unstressed vowels.

doi: 10.21437/Interspeech.2017-838

Cite as: Brandt, E., Zimmerer, F., Andreeva, B., Möbius, B. (2017) Mel-Cepstral Distortion of German Vowels in Different Information Density Contexts. Proc. Interspeech 2017, 2993-2997, doi: 10.21437/Interspeech.2017-838

  author={Erika Brandt and Frank Zimmerer and Bistra Andreeva and Bernd Möbius},
  title={{Mel-Cepstral Distortion of German Vowels in Different Information Density Contexts}},
  booktitle={Proc. Interspeech 2017},