Hierarchical classifier design for speech emotion recognition in the mixed-cultural environment

Recognition of emotion in speech is a difficult task due to many speaker factors like gender, age, and the cultural background (nationality, ethnicity, and region) as well as the acoustical environ...

[1]  Astrid Paeschke,et al.  A database of German emotional speech , 2005, INTERSPEECH.

[2]  Juan Manuel Montero-Martínez,et al.  Emotional speech synthesis: from speech database to TTS , 1998, ICSLP.

[3]  K. V. Krishna Kishore,et al.  Emotion recognition in speech using MFCC and wavelet features , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[4]  P. Vasuki.  Speech Emotion Recognition Using Adaptive Ensemble of Class Specific Classifiers , 2015 .

[5]  Say Wei Foo,et al.  Speech emotion recognition using hidden Markov models , 2003, Speech Commun..

[6]  Sophie K. Scott,et al.  Cross-cultural recognition of basic emotions through nonverbal emotional vocalizations , 2010, Proceedings of the National Academy of Sciences.

[7]  Philip J. B. Jackson,et al.  Speaker-dependent audio-visual emotion recognition , 2009, AVSP.

[8]  Johannes Wagner,et al.  A Systematic Comparison of Different HMM Designs for Emotion Recognition from Acted and Spontaneous Speech , 2007, ACII.

[9]  Arun Kulkarni,et al.  Recognizing emotions from speech , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[10]  Yang Zhang,et al.  LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition , 2018, INTERSPEECH.

[11]  Dong Yu,et al.  Speech emotion recognition using deep neural network and extreme learning machine , 2014, INTERSPEECH.

[12]  P Vasuki,et al.  Speech Emotion Recognition Based on Gender Influence in Emotional Expression , 2019, Int. J. Intell. Inf. Technol..

[13]  Tiago H. Falk,et al.  Automatic speech emotion recognition using modulation spectral features , 2011, Speech Commun..

[14]  Frank Dellaert,et al.  Recognizing emotion in speech , 1996, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96.

[15]  Werner Verhelst,et al.  Automatic Classification of Expressiveness in Speech: A Multi-corpus Study , 2007, Speaker Classification.

[16]  Werner Verhelst,et al.  An evaluation of the robustness of existing supervised machine learning approaches to the classification of emotions in speech , 2007, Speech Commun..

[17]  E. Diener,et al.  Experience Sampling: Promises and Pitfalls, Strengths and Weaknesses , 2003 .

[18]  Yin Yeqing,et al.  An new speech recognition method based on prosodic analysis and SVM in Zhuang language , 2011, 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC).

[19]  Chang Dong Yoo,et al.  Speech emotion recognition via a max-margin framework incorporating a loss function based on the Watson and Tellegen's emotion model , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[20]  Johannes Wagner,et al.  Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation , 2008, Affect and Emotion in Human-Computer Interaction.

[21]  Shashidhar G. Koolagudi,et al.  Two stage emotion recognition based on speaking rate , 2011, Int. J. Speech Technol..

[22]  Hiok Chai Quek,et al.  Cultural dependency analysis for understanding speech emotion , 2012, Expert Syst. Appl..

[23]  Andrew Huang,et al.  Human Vocal Sentiment Analysis , 2019, ArXiv.

[24]  Yongzhao Zhan,et al.  A novel hierarchical speech emotion recognition method based on improved DDAGSVM , 2010, Comput. Sci. Inf. Syst..

[25]  Aysecan Boduroglu,et al.  Culture impacts the magnitude of the emotion-induced memory trade-off effect , 2018, Cognition & emotion.

[26]  Carlos Busso,et al.  Emotion recognition using a hierarchical binary decision tree approach , 2011, Speech Commun..

[27]  Hillary Anger Elfenbein,et al.  Cross-cultural patterns in emotion recognition: highlighting design and analytical techniques. , 2002 .

[28]  S. Tamil Selvi,et al.  Class-specific multiple classifiers scheme to recognize emotions from speech signals , 2014, Comput. Speech Lang..

[29]  Gwenn Englebienne,et al.  Learning spectro-temporal features with 3D CNNs for speech emotion recognition , 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

[30]  Andreas Wendemuth,et al.  Determining optimal signal features and parameters for HMM-based emotion classification , 2010, Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference.

[31]  Kyu-Sik Park,et al.  Building robust emotion recognition system on heterogeneous speech databases , 2011, IEEE Transactions on Consumer Electronics.

[32]  Enrique Marcelo Albornoz,et al.  Deep Learning for Emotional Speech Recognition , 2014, MCPR.

[33]  Shashidhar G. Koolagudi,et al.  Robust Emotion Recognition using Spectral and Prosodic Features , 2013, Springer Briefs in Electrical and Computer Engineering.

[34]  K. Sreenivasa Rao,et al.  Speaker dependent, speaker independent and cross language emotion recognition from speech using GMM and HMM , 2013, 2013 National Conference on Communications (NCC).

[35]  Heysem Kaya,et al.  Efficient and effective strategies for cross-corpus acoustic emotion recognition , 2018, Neurocomputing.

[36]  Xia Fang,et al.  Seeing Mixed Emotions: The Specificity of Emotion Perception From Static and Dynamic Facial Expressions Across Cultures , 2017, Journal of cross-cultural psychology.

[37]  Dorra Ben Ayed Mezghanni,et al.  Improved Frame Level Features and SVM Supervectors Approach for the Recogniton of Emotional States from Speech: Application to categorical and dimensional states , 2014, ArXiv.

[38]  Ragini Verma,et al.  Class-level spectral features for emotion recognition , 2010, Speech Commun..

[39]  Oliver Watts,et al.  Towards speaking style transplantation in speech synthesis , 2013, SSW.

[40]  Sonja A. Kotz,et al.  The development of cross-cultural recognition of vocal emotion during childhood and adolescence , 2018, Scientific Reports.

[41]  I. Iriondo,et al.  VALIDATION OF AN ACOUSTICAL MODELLING OF EMOTIONAL EXPRESSION IN SPANISH USING SPEECH SYNTHESIS TECHNIQUES , 2000 .

[42]  Björn W. Schuller,et al.  Speaker Independent Speech Emotion Recognition by Ensemble Classification , 2005, 2005 IEEE International Conference on Multimedia and Expo.