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Emotion recognition using speech and neural structured learning to facilitate edge intelligence
5 references·5 citing·37 second hop
Emotion recognition using speech and neural structured learning to facilitate edge intelligence (2020)Emotion recognition using speech and neur…Human emotion recognition using deep belief network architecture (2018)Human emotion recognition usi…Automatic Methods for the Detection of Accelerative Cardiac Defense Response (2016)Automatic Methods for the Det…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks (2013)Emotion recognition from spon…A database of German emotional speech (2005)A database of German emotiona…Emotion recognition in EEG signals using the continuous wavelet transform and CNNs (2022)Emotion recognition in EEG si…Convolutional neural network-based cross-corpus speech emotion recognition with data augmentation and features fusion (2022)Convolutional neural network-…Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network (2021)Sentiment analysis in non-fix…Novel dual-channel long short-term memory compressed capsule networks for emotion recognition (2021)Novel dual-channel long short…Speech feature selection and emotion recognition based on weighted binary cuckoo search (2020)Speech feature selection and …Acoustic profiles in vocal emotion expression. (1996)The INTERSPEECH 2009 emotion challenge (2009)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Deep learning for robust feature generation in audiovisual emotion recognition (2013)A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression (2018)Speech emotion recognition research: an analysis of research focus (2018)Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition (2019)EMOTION: Theory, Research, and Experience (1980)Emotions in social psychology : essential readings (2001)From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (2005)Medical-QoS Based Telemedicine Service Selection Using Analytic Hierarchy Process (2017)A Domains Oriented Framework of Recent Machine Learning Applications in Mobile Mental Health (2018)Healthcare IoT-Based Affective State Mining Using a Deep Convolutional Neural Network (2019)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)A circumplex model of affect. (1980)Emotion recognition in human-computer interaction (2001)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)Wearable-Based Affect Recognition—A Review (2019)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Databases, features and classifiers for speech emotion recognition: a review (2018)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Emotions Recognition Using EEG Signals: A Survey (2017)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)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)CREMA-D: Crowd-Sourced Emotional Multimodal Actors Dataset (2014)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Speech emotion recognition using hidden Markov models (2003)Hybrid CNN-BiLSTM architecture with multiple attention mechanisms to enhance speech emotion recognition (2024)In-depth investigation of speech emotion recognition studies from past to present –The importance of emotion recognition from speech signal for AI– (2024)EEG-Based Emotion Recognition in Music Listening (2010)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)A subject-independent portable emotion recognition system using synchrosqueezing wavelet transform maps of EEG signals and ResNet-18 (2023)Emotion recognition from multiple physiological signals using intra- and inter-modality attention fusion network (2023)
this work references cited by second hop

References

  • 2005A database of German emotional speech2,365 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2018Human emotion recognition using deep belief network architecture307 cited
  • 2013Emotion recognition from spontaneous speech using Hidden Markov models with deep belief networks119 cited
  • 2016Automatic Methods for the Detection of Accelerative Cardiac Defense Response79 cited

Cited by

  • 2022Convolutional neural network-based cross-corpus speech emotion recognition with data augmentation and features fusion55 cited
  • 2022Emotion recognition in EEG signals using the continuous wavelet transform and CNNs53 cited
  • 2021Novel dual-channel long short-term memory compressed capsule networks for emotion recognition52 cited
  • 2020Speech feature selection and emotion recognition based on weighted binary cuckoo search41 cited
  • 2021Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network40 cited

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