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Effects of Data Augmentations on Speech Emotion Recognition
15 references·1 citing·46 second hop
Effects of Data Augmentations on Speech Emotion Recognition (2022)Effects of Data Augmentations on Speech E…Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap (2023)Dawn of the Transformer Era i…Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion (2022)Survey on bimodal speech emot…Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations (2021)Emotion Recognition by Fusing…A multimodal hierarchical approach to speech emotion recognition from audio and text (2021)A multimodal hierarchical app…Fusion Approaches for Emotion Recognition from Speech Using Acoustic and Text-Based Features (2020)Fusion Approaches for Emotion…Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Speech emotion recognition: E…Speech Emotion Recognition Based on Speech Segment Using LSTM with Attention Model (2019)Speech Emotion Recognition Ba…Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms (2017)Efficient Emotion Recognition…MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception (2016)MSP-IMPROV: An Acted Corpus o…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Perception of Emotional Valences and Activity Levels from Vowel Segments of Continuous Speech (2008)Perception of Emotional Valen…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…The role of voice quality in communicating emotion, mood and attitude (2003)The role of voice quality in …Physical variations related to stress and emotional state: a preliminary study (1996)Physical variations related t…Analysis of the glottal excitation of emotionally styled and stressed speech (1995)Analysis of the glottal excit…Lightweight Deep Learning Framework for Speech Emotion Recognition (2023)Lightweight Deep Learning Fra…Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The phonetic description of voice quality (1980)Vocal affect expression: A review and a model for future research. (1986)Analysis, synthesis, and perception of voice quality variations among female and male talkers (1990)Affective Computing: A Review (2005)Emotion recognition from speech: a review (2012)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)Acoustic profiles in vocal emotion expression. (1996)A database of German emotional speech (2005)Building Naturalistic Emotionally Balanced Speech Corpus by Retrieving Emotional Speech from Existing Podcast Recordings (2017)K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations (2020)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition using deep neural network and extreme learning machine (2014)Multimodal Speech Emotion Recognition Using Audio and Text (2018)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)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 Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)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 Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)A systematic review of trimodal affective computing approaches: Text, audio, and visual integration in emotion recognition and sentiment analysis (2024)Bridging computer and education sciences: A systematic review of automated emotion recognition in online learning environments (2024)MemoCMT: multimodal emotion recognition using cross-modal transformer-based feature fusion (2025)A circumplex model of affect. (1980)An argument for basic emotions (1992)Multimodal transformer augmented fusion for speech emotion recognition (2023)Speech emotion recognition approaches: A systematic review (2023)Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition (2024)A Concordance Correlation Coefficient to Evaluate Reproducibility (1989)Speech emotion recognition using machine learning — A systematic review (2023)SpeechFormer++: A Hierarchical Efficient Framework for Paralinguistic Speech Processing (2023)CFN-ESA: A Cross-Modal Fusion Network With Emotion-Shift Awareness for Dialogue Emotion Recognition (2024)THE EFFECTS OF EMOTIONS ON VOICE QUALITY (1999)Emotions in Vowel Segments of Continuous Speech: Analysis of the Glottal Flow Using the Normalised Amplitude Quotient (2006)Expression of affect in spontaneous speech: Acoustic correlates and automatic detection of irritation and resignation (2010)
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References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2003The role of voice quality in communicating emotion, mood and attitude790 cited
  • 2019Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers725 cited
  • 2017Efficient Emotion Recognition from Speech Using Deep Learning on Spectrograms422 cited
  • 2023Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap410 cited
  • 2016MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception391 cited
  • 2022Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion116 cited
  • 1996Physical variations related to stress and emotional state: a preliminary study115 cited
  • 2021A multimodal hierarchical approach to speech emotion recognition from audio and text115 cited
  • 1995Analysis of the glottal excitation of emotionally styled and stressed speech106 cited
  • 2021Emotion Recognition by Fusing Time Synchronous and Time Asynchronous Representations69 cited
  • 2008Perception of Emotional Valences and Activity Levels from Vowel Segments of Continuous Speech62 cited
  • 2020Fusion Approaches for Emotion Recognition from Speech Using Acoustic and Text-Based Features

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61 cited
  • 2019Speech Emotion Recognition Based on Speech Segment Using LSTM with Attention Model59 cited
  • Cited by

    • 2023Lightweight Deep Learning Framework for Speech Emotion Recognition40 cited