Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
The current paper aims to investigate the perception of Russian ironic laboratory speech and to develop a methodological basis for the further research on perceptually relevant acoustic cues of irony. On the first stage of analysis we created short monologues and dialogues including ironic and homonymous non-ironic sentences. Two Russian native male speakers read this material. The recording was accomplished in a sound booth. Then, randomized fragments of the recordings were suggested to native listeners in an auditory perception experiment. The mean intensity, duration of the stressed vowel and F0 range in the reliably identified target fragments were analyzed, as well as functional intonation models in terms of the system suggested by E. Bryzgunova. The results showed that the listeners are able to detect irony without any contextual or lexical marker of it. The acoustic analysis of the reliably identified stimuli demonstrated the difference in intensity level and stressed vowel duration between ironic and non-ironic utterances. The obtained results allow creating a methodology of data collection and validation for the construction of ironic speech corpus and its analysis. They may also have applications in teaching Russian as a second language, human-machine communication and improving natural language processing systems.
Original language | English |
---|---|
Title of host publication | Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings |
Editors | Alexey Karpov, Rodmonga Potapova |
Publisher | Springer Nature |
Pages | 544-553 |
Number of pages | 10 |
ISBN (Print) | 9783030602758 |
DOIs | |
State | Published - 2020 |
Event | 22nd International Conference on Speech and Computer - St. Petersburg, Russia => Online, St. Petersburg, Russian Federation Duration: 7 Oct 2020 → 9 Oct 2020 http://specom.nw.ru/2020/program/SPECOM-ICR2020-Conference-Program-06102020.pdf |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Volume | 12335 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 22nd International Conference on Speech and Computer |
---|---|
Abbreviated title | SPECOM 2020 |
Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 7/10/20 → 9/10/20 |
Internet address |
ID: 70314230