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Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition
6 references·2 citing·33 second hop
Exploring Wav2vec 2.0 Fine Tuning for Improved Speech Emotion Recognition (2023)Exploring Wav2vec 2.0 Fine Tuning for Imp…Emotion Recognition from Speech Using wav2vec 2.0 Embeddings (2021)Emotion Recognition from Spee…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)The Ryerson Audio-Visual Data…Attention Based Fully Convolutional Network for Speech Emotion Recognition (2018)Attention Based Fully Convolu…Evaluating deep learning architectures for Speech Emotion Recognition (2017)Evaluating deep learning arch…Speech emotion recognition using deep neural network and extreme learning machine (2014)Speech emotion recognition us…IEMOCAP: interactive emotional dyadic motion capture database (2008)IEMOCAP: interactive emotiona…Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition (2024)Vesper: A Compact and Effecti…MoodSensing: A smartphone app for digital phenotyping and assessment of bipolar disorder (2024)MoodSensing: A smartphone app…Coefficient Alpha and the Internal Structure of Tests (1951)The Hidden Dimension (1973)Affective Computing (1997)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations (2019)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Automatic speech emotion recognition using recurrent neural networks with local attention (2017)End-to-End Multimodal Emotion Recognition Using Deep Neural Networks (2017)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Emotion recognition in human-computer interaction (2001)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)The Measurement of Observer Agreement for Categorical Data (1977)Intraclass correlations: Uses in assessing rater reliability. (1979)A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research (2016)Speech emotion recognition with deep convolutional neural networks (2020)Enhancements in Immediate Speech Emotion Detection: Harnessing Prosodic and Spectral Characteristics (2024)A database of German emotional speech (2005)Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning (2021)A systematic literature review of speech emotion recognition approaches (2022)Speech Emotion Recognition Using Self-Supervised Features (2022)The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10 (1998)Estimating the true global burden of mental illness (2016)Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019 (2022)The Current State/ Trends in Digital Phenotyping for Mental Health Research and Care (2025)A Stochastic Approximation Method (1951)HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures (2024)3D CNN-Based Speech Emotion Recognition Using K-Means Clustering and Spectrograms (2019)Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition (2019)Att-Net: Enhanced emotion recognition system using lightweight self-attention module (2021)
this work references cited by second hop

References

  • 2008IEMOCAP: interactive emotional dyadic motion capture database3,864 cited
  • 2018The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English1,898 cited
  • 2014Speech emotion recognition using deep neural network and extreme learning machine822 cited
  • 2017Evaluating deep learning architectures for Speech Emotion Recognition553 cited
  • 2021Emotion Recognition from Speech Using wav2vec 2.0 Embeddings388 cited
  • 2018Attention Based Fully Convolutional Network for Speech Emotion Recognition161 cited

Cited by

  • 2024Vesper: A Compact and Effective Pretrained Model for Speech Emotion Recognition96 cited
  • 2024MoodSensing: A smartphone app for digital phenotyping and assessment of bipolar disorder13 cited

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