Emotions in [a]: a perceptual and acoustic study.

The aim of this investigation is to study how well voice quality conveys emotional content that can be discriminated by human listeners and the computer. The speech data were produced by nine professional actors (four women, five men). The speakers simulated the following basic emotions in a unit consisting of a vowel extracted from running Finnish speech: neutral, sadness, joy, anger, and tenderness.

Tone choice and voice quality of dispreferred turns in the English of Finns.

Authentic Finnish-English speech data was collected as part of an English conversation class in a Finnish college. Intonation was coded utilizing the framework involving 'tone', 'key' and 'termination'. A categorization of voice quality was chosen (e.

Automatic discrimination of emotion from spoken Finnish.

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.