SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification
8 references·1 citing·43 second hop
A novel convolutional neural network with gated recurrent unit for automated speech emotion recognition and classification (2022)A novel convolutional neural network with…Cross corpus multi-lingual speech emotion recognition using ensemble learning (2021)Cross corpus multi-lingual sp…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks (2018)On Enhancing Speech Emotion R…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Speech Emotion Recognition using Support Vector Machine (2010)Speech Emotion Recognition us…Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Cross-Corpus Acoustic Emotion…Acoustic emotion recognition: A benchmark comparison of performances (2009)Acoustic emotion recognition:…Emotional speech recognition: Resources, features, and methods (2006)Emotional speech recognition:…Robust Facial Expression Recognition Using an Evolutionary Algorithm with a Deep Learning Model (2022)Robust Facial Expression Reco…Affective Computing (1997)Emotion recognition in human-computer interaction (2001)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011)Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition (2013)Emotion Recognition in Speech using Cross-Modal Transfer in the Wild (2018)Acoustic profiles in vocal emotion expression. (1996)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition from speech: a review (2012)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)A database of German emotional speech (2005)The eNTERFACE’05 Audio-Visual Emotion Database (2006)The INTERSPEECH 2009 emotion challenge (2009)Speech emotion recognition approaches in human computer interaction (2011)Towards an intelligent framework for multimodal affective data analysis (2014)Attentive Convolutional Neural Network Based Speech Emotion Recognition: A Study on the Impact of Input Features, Signal Length, and Acted Speech (2017)Speech emotion recognition based on HMM and SVM (2005)SVM Scheme for Speech Emotion Recognition using MFCC Feature (2013)A Convolution Bidirectional Long Short-Term Memory Neural Network for Driver Emotion Recognition (2020)Speech emotion recognition approaches: A systematic review (2023)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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)MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)Adversarial Auto-Encoders for Speech Based Emotion Recognition (2017)Learning representations of emotional speech with deep convolutional generative adversarial networks (2017)Speaker-Invariant Affective Representation Learning via Adversarial Training (2020)Cross-Corpus Speech Emotion Recognition Based on Few-Shot Learning and Domain Adaptation (2021)Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition (2023)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)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)TLEFuzzyNet: Fuzzy Rank-Based Ensemble of Transfer Learning Models for Emotion Recognition From Human Speeches (2021)GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)A Survey on Human Face Expression Recognition Techniques (2018)Attention mechanism-based CNN for facial expression recognition (2020)Suppressing Uncertainties for Large-Scale Facial Expression Recognition (2020)
this work references cited by second hop

References

  • 2006Emotional speech recognition: Resources, features, and methods927 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2010Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies389 cited
  • 2009Acoustic emotion recognition: A benchmark comparison of performances275 cited
  • 2010Speech Emotion Recognition using Support Vector Machine139 cited
  • 2021Cross corpus multi-lingual speech emotion recognition using ensemble learning139 cited
  • 2018On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks63 cited

Cited by

  • 2022Robust Facial Expression Recognition Using an Evolutionary Algorithm with a Deep Learning Model43 cited

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