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Audio-visual emotion fusion (AVEF): A deep efficient weighted approach · Study

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ArticleAudio-visual emotion fusion (AVEF): A deep efficient weighted approach

Yixue Hao2018

Article2018

Audio-visual emotion fusion (AVEF): A deep efficient weighted approach

Yixue Hao · Min Chen · Jincai Chen · Ping Lü · Andrej Košir

155 citations·0/0 files stored·Information Fusion

No readable copy stored yet — this record is metadata only.

Emotion and Mood Recognition Speech and Audio Processing Music and Audio Processing

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 155 citations exist upstream.

References

2005A database of German emotional speech 2003Vocal communication of emotion: A review of research paradigms 2015The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing 2006Emotional speech recognition: Resources, features, and methods 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network 2014Speech emotion recognition using deep neural network and extreme learning machine 2016Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order 2006The eNTERFACE’05 Audio-Visual Emotion Database

Cited by

2019Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM 2023A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods 2019Label-less Learning for Emotion Cognition 2019An Active Learning Paradigm for Online Audio-Visual Emotion Recognition 2023Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG 2019CNN and LSTM Based Facial Expression Analysis Model for a Humanoid Robot 2022A comprehensive review of facial expression recognition techniques 2020Learning deep multimodal affective features for spontaneous speech emotion recognition

Details

Year2018

Typearticle

Published2018-06-15

VenueInformation Fusion

ISSN-L1566-2535

Languageen

Citations155

Files0 public / 0

ShelfEmotion and Mood Recognition

Identifiers

doi10.1016/j.inffus.2018.06.003

openalex_workW2889466822

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