SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech
10 references·10 citing·38 second hop
At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech (2016)At the Border of Acoustics and Linguistic…Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network (2016)Adieu features? End-to-end sp…Multimodal Affective Dimension Prediction Using Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks (2015)Multimodal Affective Dimensio…AV+EC 2015 (2015)AV+EC 2015Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data (2014)Prediction of asynchronous di…Multimodal assistive technologies for depression diagnosis and monitoring (2013)Multimodal assistive technolo…Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Introducing the RECOLA multim…The INTERSPEECH 2009 emotion challenge (2009)The INTERSPEECH 2009 emotion …Toward an affect-sensitive multimodal human-computer interaction (2003)Toward an affect-sensitive mu…Emotion recognition by speech signals (2003)Emotion recognition by speech…EMOTION RECOGNITION BY SPEECH SIGNAL (2003)EMOTION RECOGNITION BY SPEECH…The ACII 2022 Affective Vocal Bursts Workshop & Competition (2022)The ACII 2022 Affective Vocal…Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach (2022)Automatic Depression Detectio…A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling (2022)A voice-based real-time emoti…Spatiotemporal and frequential cascaded attention networks for speech emotion recognition (2021)Spatiotemporal and frequentia…An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety (2020)An Early Study on Intelligent…Natural Language Processing Methods for Acoustic and Landmark Event-Based Features in Speech-Based Depression Detection (2019)Natural Language Processing M…The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats (2018)The INTERSPEECH 2018 Computat…Speech emotion recognition research: an analysis of research focus (2018)Speech emotion recognition re…Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks (2018)Predicting Arousal and Valenc…Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 2017 (2017)Investigating Word Affect Fea…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)Review on Psychological Stress Detection Using Biosignals (2019)Affective Computing (1997)Nonlinear feature based classification of speech under stress (2001)Emotion recognition from text using semantic labels and separable mixture models (2006)A Framework for Automatic Human Emotion Classification Using Emotion Profiles (2010)Class-level spectral features for emotion recognition (2010)Intransitivity of preferences. (1969)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Toward machine emotional intelligence: analysis of affective physiological state (2001)Multimodal Multi-task Learning for Dimensional and Continuous Emotion Recognition (2017)AVEC 2018 Workshop and Challenge (2018)Emotion recognition based on physiological changes in music listening (2008)AVEC 2013 (2013)Transformer Encoder With Multi-Modal Multi-Head Attention for Continuous Affect Recognition (2020)Coefficient Alpha and the Internal Structure of Tests (1951)Intraclass correlations: Uses in assessing rater reliability. (1979)An Image-based Deep Spectrum Feature Representation for the Recognition of Emotional Speech (2017)The Epidemiology of Major Depressive Disorder (2003)Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces (2020)A hybrid model for depression detection using deep learning (2022)CubeMLP: An MLP-based Model for Multimodal Sentiment Analysis and Depression Estimation (2022)A circumplex model of affect. (1980)Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech Emotion Recognition Using Deep Learning Techniques: A Review (2019)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)The expression of the emotions in man and animals. (1872)Emotional Intelligence (1990)Social Signal Processing (2017)Vocal communication of emotion: A review of research paradigms (2003)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)Databases, features and classifiers for speech emotion recognition: a review (2018)A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face (2023)
this work references cited by second hop

References

  • 2009The INTERSPEECH 2009 emotion challenge929 cited
  • 2016Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network905 cited
  • 2003Toward an affect-sensitive multimodal human-computer interaction792 cited
  • 2013Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions776 cited
  • 2003Emotion recognition by speech signals366 cited
  • 2003EMOTION RECOGNITION BY SPEECH SIGNAL337 cited
  • 2014Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data201 cited
  • 2013Multimodal assistive technologies for depression diagnosis and monitoring179 cited
  • 2015AV+EC 2015178 cited
  • 2015Multimodal Affective Dimension Prediction Using Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks149 cited

Cited by

  • 2020An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety113 cited
  • 2018The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats105 cited
  • 2022Automatic Depression Detection Using Smartphone-Based Text-Dependent Speech Signals: Deep Convolutional Neural Network Approach97 cited
  • 2022A voice-based real-time emotion detection technique using recurrent neural network empowered feature modelling

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

80 cited
  • 2021Spatiotemporal and frequential cascaded attention networks for speech emotion recognition79 cited
  • 2022The ACII 2022 Affective Vocal Bursts Workshop & Competition68 cited
  • 2018Speech emotion recognition research: an analysis of research focus68 cited
  • 2019Natural Language Processing Methods for Acoustic and Landmark Event-Based Features in Speech-Based Depression Detection54 cited
  • 2018Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks47 cited
  • 2017Investigating Word Affect Features and Fusion of Probabilistic Predictions Incorporating Uncertainty in AVEC 201746 cited