The eNTERFACE’05 Audio-Visual Emotion Database

Abstract

This paper presents an audio-visual emotion database that can be used as a reference database for testing and evaluating video, audio or joint audio-visual emotion recognition algorithms. Additional uses may include the evaluation of algorithms performing other multimodal signal processing tasks, such as multimodal person identification or audio-visual speech recognition. This paper presents the difficulties involved in the construction of such a multimodal emotion database and the different protocols that have been used to cope with these difficulties. It describes the experimental setup used for the experiments and includes a section related to the segmentation and selection of the video samples, in such a way that the database contains only video sequences carrying the desired affective information. This database is made publicly available for scientific research purposes.

Semantic Audiovisual Data Fusion for Automatic Emotion Recognition

“…For training, we have used CohnKanade database for experiments on facial expression recognition and Berlin database for emotion extraction from speech. We have partly used the eNTERFACE'05 audio-visual emotion database (Martin et al, 2006) for testing our multimodal algorithms for emotion recognition.…”

Locally Discriminant Diffusion Projection and Its Application in Speech Emotion Recognition

“…In the experiments, Berlin speech emotion corpus (EMO-DB) [22] and the audio section of eNTERFACE'05 multimodal emotion corpus [23] are used.…”

Speech Emotion Recognition Based on Sparse Transfer Learning Method

“…In this letter, two popular emotional speech corpora are utilized, i.e., Berlin database [15] and eNTERFACE database [16]. To evaluate the performance of the proposed method for speech emotion recognition, two types of tests are considered, i.e., case1 and case2.…”