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ArticleA novel feature selection method for speech emotion recognition

Turgut Özseven2018

Article2018

A novel feature selection method for speech emotion recognition

Turgut Özseven

187 citations·0/0 files stored·Applied Acoustics

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Emotion and Mood Recognition Speech Recognition and Synthesis Speech and Audio Processing

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References

2005A database of German emotional speech 2005Toward detecting emotions in spoken dialogs 2006Emotional speech recognition: Resources, features, and methods 2006The eNTERFACE’05 Audio-Visual Emotion Database 2012Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 2007Primitives-based evaluation and estimation of emotions in speech 2012Speech emotion recognition: Features and classification models 1939An experimental study of the pitch characteristics of the voice during the expression of emotion∗

Cited by

2020Deep-Net: A Lightweight CNN-Based Speech Emotion Recognition System Using Deep Frequency Features 2020A survey of speech emotion recognition in natural environment 2020Automated accurate speech emotion recognition system using twine shuffle pattern and iterative neighborhood component analysis techniques 2020A Novel Approach for Classification of Speech Emotions Based on Deep and Acoustic Features 2023Speech Emotion Recognition Based on Multiple Acoustic Features and Deep Convolutional Neural Network

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2023Speech emotion recognition approaches: A systematic reviewreview · 6 shared references 2020A survey of speech emotion recognition in natural environmentarticle · 5 shared references 2022A systematic literature review of speech emotion recognition approachesreview · 5 shared references 2024Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Reviewarticle · 5 shared references 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategiesarticle · 4 shared references 2021A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanismarticle · 4 shared references

Details

Year2018

Typearticle

Published2018-12-07

VenueApplied Acoustics

ISSN-L0003-682X

Languageen

Citations187

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1016/j.apacoust.2018.11.028

openalex_workW2904938641

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2021Automated accurate emotion recognition system using rhythm-specific deep convolutional neural network technique with multi-channel EEG signals

2020Impact of Feature Selection Algorithm on Speech Emotion Recognition Using Deep Convolutional Neural Network

2021Attention guided 3D CNN-LSTM model for accurate speech based emotion recognition