SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends
16 references·8 citing·37 second hop
Speech Emotion Recognition Using 3D Convolutions and Attention-Based Sliding Recurrent Networks With Auditory Front-Ends (2020)Speech Emotion Recognition Using 3D Convo…Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning (2019)Improved End-to-End Speech Em…3-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition (2018)3-D Convolutional Recurrent N…Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching (2017)Speech Emotion Recognition Us…Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Automatic speech emotion reco…Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Attentive Convolutional Neura…Speech emotion recognition using convolutional and Recurrent Neural Networks (2016)Speech emotion recognition us…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…High-level feature representation using recurrent neural network for speech emotion recognition (2015)High-level feature representa…Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks (2014)Learning Salient Features for…The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism (2013)The INTERSPEECH 2013 computat…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Automatic speech emotion recognition using modulation spectral features (2010)Automatic speech emotion reco…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Temporal envelope and fine structure cues for speech intelligibility (1994)Temporal envelope and fine st…Temporal information in speech: acoustic, auditory and linguistic aspects (1992)Temporal information in speec…Hybrid CNN-BiLSTM architecture with multiple attention mechanisms to enhance speech emotion recognition (2024)Hybrid CNN-BiLSTM architectur…Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications (2023)Multichannel CNN-BLSTM Archit…Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition (2023)Hybrid data augmentation and …Modulation spectral features for speech emotion recognition using deep neural networks (2022)Modulation spectral features …Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set (2021)Speech Emotion Recognition Us…Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech (2021)Multi-resolution modulation-f…Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks (2021)Bangla Speech Emotion Recogni…A novel dual attention-based BLSTM with hybrid features in speech emotion recognition (2021)A novel dual attention-based …Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)AVEC 2013 (2013)Review on Psychological Stress Detection Using Biosignals (2019)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)A database of German emotional speech (2005)Evaluating deep learning architectures for Speech Emotion Recognition (2017)Speech emotion recognition (2018)Using uh and um in spontaneous speaking (2002)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)AVEC 2016 (2016)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Social Signal Processing (2017)Automated assessment of psychiatric disorders using speech: A systematic review (2020)Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)A Cross-Language Study of Voicing in Initial Stops: Acoustical Measurements (1964)Amplitude envelope onsets and developmental dyslexia: A new hypothesis (2002)Temporal window of integration in auditory-visual speech perception (2006)Listening to language at birth: evidence for a bias for speech in neonates (2007)Speech emotion recognition using deep neural network and extreme learning machine (2014)Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)A Comprehensive Review of Speech Emotion Recognition Systems (2021)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)A CNN-Assisted Enhanced Audio Signal Processing for Speech Emotion Recognition (2019)Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020)Deep Learning Techniques for Speech Emotion Recognition, from Databases to Models (2021)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 1992Temporal information in speech: acoustic, auditory and linguistic aspects1,132 cited
  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2017Automatic speech emotion recognition using recurrent neural networks with local attention769 cited
  • 2013The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism733 cited
  • 2014Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks567 cited
  • 20183-D Convolutional Recurrent Neural Networks With Attention Model for Speech Emotion Recognition503 cited
  • 2017Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching443 cited
  • 2016Speech emotion recognition using convolutional and Recurrent Neural Networks422 cited
  • 2015High-level feature representation using recurrent neural network for speech emotion recognition406 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2010Automatic speech emotion recognition using modulation spectral features389 cited
  • 2017Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech

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

249 cited
  • 1994Temporal envelope and fine structure cues for speech intelligibility213 cited
  • 2019Improved End-to-End Speech Emotion Recognition Using Self Attention Mechanism and Multitask Learning197 cited
  • Cited by

    • 2021Bangla Speech Emotion Recognition and Cross-Lingual Study Using Deep CNN and BLSTM Networks80 cited
    • 2022Modulation spectral features for speech emotion recognition using deep neural networks75 cited
    • 2023Multichannel CNN-BLSTM Architecture for Speech Emotion Recognition System by Fusion of Magnitude and Phase Spectral Features Using DCCA for Consumer Applications71 cited
    • 2021Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set64 cited
    • 2023Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition61 cited
    • 2021A novel dual attention-based BLSTM with hybrid features in speech emotion recognition59 cited
    • 2021Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech42 cited
    • 2024Hybrid CNN-BiLSTM architecture with multiple attention mechanisms to enhance speech emotion recognition42 cited