This paper presents the creation and perceptual validation of the EVE corpus, a resource, in English and French, for speech emotion recognition of audio and audiovisual content and for the generation of verbal and non-verbal behaviour.For each language, ten actors performed 10 linguistically and semantically neutral sentences with different emotions (fear, anger, happiness, sadness, disgust, surprise, confidence, confusion, contempt, empathy) and a neutral condition.Each was expressed at two arousal levels, with two trials per level.The emotional content of the corpus was perceptually validated by 600 participants per language.The corpus is accessible through this link: https://doi.org/

Articulatory synthesis generates speech sounds by simulating the physical phenomena involved in speech production. The accuracy of the physical modelling is expected to affect the naturalness of the synthesis: the more realistic the description is, the greater the naturalness is expected to be. In this work, the accuracy of acoustic wave propagation in the vocal tract was evaluated with two perceptual experiments. Sustained vowels generated using a one-dimensional acoustic model, a three-dimensional acoustic model and an artificial bandwidth extension algorithm (without a physical basis) were compared. Since the difference between the acoustic methods tested affects mainly the frequencies above 4 kHz, we ensured that the low frequency part of the stimuli, up to 4 kHz, was similar. Thus, the participants' responses were based only on the differences at high frequency. The first experiment was a pair comparison, in which the participants had to select the more natural sounding stimuli. In the second experiment, the participants had to rate the naturalness of the stimuli on a linear scale. The results confirmed that a more accurate physical modeling leads to greater naturalness. However, this was limited to the phonemes /o/ and /u/, for which transverse resonances in the anterior vocal tract may play an important role that only a 3D acoustic simulation can accurately represent. It was also found that male stimuli were perceived as significantly more natural than female ones. However, voice quality did not affect naturalness.