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Emotion recognition from Assamese speeches using MFCC features and GMM classifier
8 references·4 citing·42 second hop
Emotion recognition from Assamese speeches using MFCC features and GMM classifier (2008)Emotion recognition from Assamese speeche…Sinusoidal model-based analysis and classification of stressed speech (2006)Sinusoidal model-based analys…Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition (2005)Comparing Feature Sets for Ac…Automatic emotional speech classification (2004)Automatic emotional speech cl…Speech emotion recognition using hidden Markov models (2003)Speech emotion recognition us…Automatic statistical analysis of the signal and prosodic signs of emotion in speech (2002)Automatic statistical analysi…Nonlinear feature based classification of speech under stress (2001)Nonlinear feature based class…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Feature analysis and neural network-based classification of speech under stress (1996)Feature analysis and neural n…Speech emotion recognition based on multi‐feature and multi‐lingual fusion (2021)Speech emotion recognition ba…Speech emotion recognition research: an analysis of research focus (2018)Speech emotion recognition re…Cross-language acoustic emotion recognition: An overview and some tendencies (2015)Cross-language acoustic emoti…Vocal emotion recognition in five native languages of Assam using new wavelet features (2009)Vocal emotion recognition in …The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)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 Lombard reflex and its role on human listeners and automatic speech recognizers (1993)Nonlinear analysis and classification of speech under stressed conditions (1994)Analysis of Emotional Speech—A Review (2016)Stress measurement using speech: Recent advancements, validation issues, and ethical and privacy considerations (2019)Vocal affect expression: A review and a model for future research. (1986)Emotional speech recognition: Resources, features, and methods (2006)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)Toward the simulation of emotion in synthetic speech: A review of the literature on human vocal emotion (1993)Vocal communication of emotion: A review of research paradigms (2003)Speech Emotion Recognition Using Gaussian Mixture Model (2012)Driver’s stress detection using Skin Potential Response signals (2018)Emotions and Speech: Some Acoustical Correlates (1972)Speech Analysis Synthesis and Perception (1972)Automatic speech emotion recognition using modulation spectral features (2010)Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies (2010)Speech Emotion Recognition Using Fourier Parameters (2015)How to find trouble in communication (2003)The production and recognition of emotions in speech: features and algorithms (2003)Multimodal emotion recognition from expressive faces, body gestures and speech (2007)Combining Long Short-Term Memory and Dynamic Bayesian Networks for Incremental Emotion-Sensitive Artificial Listening (2010)Domain Adversarial for Acoustic Emotion Recognition (2018)A database of German emotional speech (2005)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Emotion recognition in never-seen languages using a novel ensemble method with emotion profiles (2015)Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives (2021)Affective Computing (1997)Procedures for Performing Systematic Reviews (2004)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Arabic Speech Emotion Recognition From Saudi Dialect Corpus (2021)Speech Emotion Recognition Using Clustering Based GA-Optimized Feature Set (2021)GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition (2022)Prosodic Characteristics of Skilled Reading: Fluency and Expressiveness in 8—10-year-old Readers (2002)Emotions, speech and the ASR framework (2003)Modeling Naturalistic Affective States Via Facial, Vocal, and Bodily Expressions Recognition (2007)Gesture-Based Affective Computing on Motion Capture Data (2005)Recognizing Human Emotional State From Audiovisual Signals (2008)Speech Emotion Recognition Using Support Vector Machine (2012)
this work references cited by second hop

References

  • 2001Emotion recognition in human-computer interaction2,601 cited
  • 2003Speech emotion recognition using hidden Markov models920 cited
  • 2001Nonlinear feature based classification of speech under stress409 cited
  • 2005Comparing Feature Sets for Acted and Spontaneous Speech in View of Automatic Emotion Recognition223 cited
  • 2004Automatic emotional speech classification221 cited
  • 2002Automatic statistical analysis of the signal and prosodic signs of emotion in speech126 cited
  • 1996Feature analysis and neural network-based classification of speech under stress98 cited
  • 2006Sinusoidal model-based analysis and classification of stressed speech83 cited

Cited by

  • 2018Speech emotion recognition research: an analysis of research focus68 cited
  • 2015Cross-language acoustic emotion recognition: An overview and some tendencies60 cited
  • 2021Speech emotion recognition based on multi‐feature and multi‐lingual fusion50 cited
  • 2009Vocal emotion recognition in five native languages of Assam using new wavelet features46 cited

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