Automatic Discrimination of Emotion from Spoken Finnish

Bibliographic Data

ID10255956
AuthorsJuhani Toivanen (Media Team and Academy of Finland, corresponding author), Eero Väyrynen (0000-0002-9141-3868, Media Team, University of Oulu, Finland), Tapio Seppänen (0000-0002-3963-0750, Media Team, University of Oulu, Finland)
Year2004
Volume47
Issue4
Pages383-412
Publication date2004-12-01
Open AccessYes
TypeARTICLE
VenueLanguage and Speech (JOURNAL)
Journal identifiersISSN: 0023-8309 • E-ISSN: 1756-6053
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/00238309040470040301
PMID16038449
OpenAlexW2074519486
LanguageEN
Citations received3
References cited25

In this paper, experiments on the automatic discrimination of basic emotions from spoken Finnish are described. For the purpose of the study, a large emotional speech corpus of Finnish was collected; 14 professional actors acted as speakers, and simulated four primary emotions when reading out a semantically neutral text. More than 40 prosodic features were derived and automatically computed from the speech samples. Two application scenarios were tested: the first scenario was speaker-independent for a small domain of speakers while the second scenario was completely speaker-independent. Human listening experiments were conducted to assess the perceptual adequacy of the emotional speech samples. Statistical classification experiments indicated that, with the optimal combination of prosodic feature vectors, automatic emotion discrimination performance close to human emotion recognition ability was achievable

Active listening · Emotion recognition · Feature (linguistics · Linguistics · Natural language processing · Perception · Prosody · Reading (process · Speech recognition · Artificial Intelligence · Communication · Computer Science · Emotion and Mood Recognition · Infant Health and Development · Psychology · Social Robot Interaction and HRI