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The eNTERFACE' 05 Audio-Visual Emotion Database | …
https://ieeexplore.ieee.org/abstract/document/1623803
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 …
The eNTERFACE'05 Audio-Visual Emotion Database ...
https://dl.acm.org/doi/10.1109/ICDEW.2006.145
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 …
The eNTERFACE’05 Audio-Visual Emotion Database
http://poseidon.csd.auth.gr/papers/PUBLISHED/CONFERENCE/pdf/Martin06a.pdf
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
The eNTERFACE 05 Audio-Visual Emotion Database | …
https://www.researchgate.net/publication/4238264_The_eNTERFACE05_Audio-Visual_Emotion_Database
the berlin emotional speech database (emo-db) [23] is a widely used corpus and consists of 535 spoken utterances in german from 10 professional actors with …
The eNTERFACE’05 Audio-Visual Emotion Database
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000001623803
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 …
eNTERFACE'05: The SIMILAR NoE Summer Workshop on ...
http://www.enterface.net/enterface05/main.php?frame=emotion
eNTERFACE'05: The SIMILAR NoE Summer Workshop on Multimodal Interfaces July 18 - August 12, 2005 - Faculté Polytechnique de Mons - Belgium Phone: (+32) 65 37 47 74 - …
The Ryerson Audio-Visual Database of Emotional ... - …
https://zenodo.org/communities/ravdess/
Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) The RAVDESS is a validated multimodal database of emotional speech and song. The set of 7356 files can be downloaded from the RAVDESS dataset. The set of recordings were evaluated by 319 individuals who were characteristic of untrained research participants from North America.
Databases, features and classifiers for speech emotion ...
https://link.springer.com/article/10.1007/s10772-018-9491-z/tables/1
3. RML (audio-visual emotion database) contains 720 videos from 8 subjects. Recognition A new architecture of intelligent audio emotion recognition is introduced and analysis of different prosodic and spectral features was done. 1. Anger, boredom, disgust, fear, happiness, neutral, sadness 2. Happy, angry, disgust, sad, surprise, fear 3.
RAVDESS | SMART Lab
https://smartlaboratory.org/ravdess/
High levels of emotional validity, interrater reliability, and test-retest intrarater reliability were reported. Validation data is open-access, and can be downloaded along with our paper from PLoS ONE. Description. The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7356 files (total size: 24.8 GB).
Emotional voice conversion: Theory, databases and ESD ...
https://www.sciencedirect.com/science/article/pii/S0167639321001308
The Surrey Audio–Visual Expressed Emotion (SAVEE) (Jackson and Haq, 2014) database covers 14 speakers with 7 different emotions but only contains 480 utterances in total. JL-Corpus ( James et al., 2018 ) is a collection of 4 New-Zealand English speakers uttering 15 sentences in 5 primary emotions with 2 repetitions, and another 10 sentences ...
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