ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

Using prosody for the improvement of ASR - sentence modality recognition

Klára Vicsi, György Szaszák

In the Laboratory of Speech Acoustics ASR research has been prepared, in which we were searching for the possibility to contribute to the higher linguistic processing levels of ASR - at syntactic, and semantic level - by acoustical preprocessing of the supra-segmental (prosodic) features. The subject of our current article is a semantic level processing, built on supra-segmental parameters. HMM models of modality types of sentences were built by training the recognizer with speech databases processed according to the types of modality, and a simple set of connection rules of modalities were used as linguistic model. The best recognition results were obtained, when state numbers of HMM clause type-models were 11, and each state had 2 Gaussian components. With these adjustments the accuracy of recognized types of modalities was 71 % for Hungarian, and 78% for German, even though the database was small for both languages.

doi: 10.21437/Interspeech.2008-136

Cite as: Vicsi, K., Szaszák, G. (2008) Using prosody for the improvement of ASR - sentence modality recognition. Proc. Interspeech 2008, 2877-2880, doi: 10.21437/Interspeech.2008-136

  author={Klára Vicsi and György Szaszák},
  title={{Using prosody for the improvement of ASR - sentence modality recognition}},
  booktitle={Proc. Interspeech 2008},