SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Efficient speech emotion recognition using modified feature extraction
16 references·0 citing·36 second hop
Efficient speech emotion recognition using modified feature extraction (2020)Efficient speech emotion recognition usin…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…A novel feature selection method for speech emotion recognition (2018)A novel feature selection met…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech emotion recognition based on feature selection and extreme learning machine decision tree (2017)Speech emotion recognition ba…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Speech Emotion Recognition Using Fourier Parameters (2015)Speech Emotion Recognition Us…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…Speech emotion recognition: Features and classification models (2012)Speech emotion recognition: F…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …Emotion recognition in spontaneous speech using GMMs (2006)Emotion recognition in sponta…Toward detecting emotions in spoken dialogs (2005)Toward detecting emotions in …A database of German emotional speech (2005)A database of German emotiona…Automatic emotional speech classification (2004)Automatic emotional speech cl…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Acoustic profiles in vocal emotion expression. (1996)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Assessing agreement on classification tasks: the kappa statistic (1996)Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Emotional speech recognition: Resources, features, and methods (2006)The expression of the emotions in man and animals. (1872)Vocal affect expression: A review and a model for future research. (1986)A Coefficient of Agreement for Nominal Scales (1960)Emotion And Adaptation (1991)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Facial Expression Analysis under Partial Occlusion (2018)IEMOCAP: interactive emotional dyadic motion capture database (2008)Emotion recognition using deep learning approach from audio–visual emotional big data (2018)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)A Comprehensive Review of Speech Emotion Recognition Systems (2021)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Speech emotion recognition (2018)
this work references cited by second hop

References

  • 2005A database of German emotional speech2,365 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2005Toward detecting emotions in spoken dialogs969 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2015Speech Emotion Recognition Using Fourier Parameters409 cited
  • 2017Speech emotion recognition based on feature selection and extreme learning machine decision tree267 cited
  • 2006Emotion recognition in spontaneous speech using GMMs249 cited
  • 2012Speech emotion recognition: Features and classification models239 cited
  • 2004

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Automatic emotional speech classification
221 cited
  • 2018A novel feature selection method for speech emotion recognition187 cited
  • Cited by

    No citing works inside the corpus for this window.