Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding

Sabrina Stehwien, Ngoc Thang Vu


We investigate the correlation between pitch accents and semantic slots in human-machine speech. Using an automatic pitch accent detector on the ATIS corpus, we find that most words labelled with semantic slots also carry a pitch accent. Most of the pitch accented words that are not associated with a semantic label are still meaningful, pointing towards the speaker’s intention. Our findings show that prosody constitutes a relevant and useful resource for spoken language understanding, especially considering the fact that our pitch accent detector does not require any kind of manual transcriptions during testing time.


DOI: 10.21437/Interspeech.2016-511

Cite as

Stehwien, S., Vu, N.T. (2016) Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding. Proc. Interspeech 2016, 730-734.

Bibtex
@inproceedings{Stehwien+2016,
author={Sabrina Stehwien and Ngoc Thang Vu},
title={Exploring the Correlation of Pitch Accents and Semantic Slots for Spoken Language Understanding},
year=2016,
booktitle={Interspeech 2016},
doi={10.21437/Interspeech.2016-511},
url={http://dx.doi.org/10.21437/Interspeech.2016-511},
pages={730--734}
}