The INTERSPEECH 2009 emotion challenge

Cited by (934)

Items 101–200 of 934

1. Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach
   Anton M. Batliner, Dino Seppi, Stefan Steidl, Björn Wolfgang Schuller · 2010 · Advances in Human-Computer Interaction
2. Learning Temporal Clusters Using Capsule Routing for Speech Emotion Recognition
   Md Asif Jalal, Erfan Loweimi, Roger K. Moore, Thomas Hain · 2019 · Interspeech (USB)
3. Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition
   Jun Deng, Rui Xia, Zixing Zhang, Yang Liu, Björn Wolfgang Schuller · 2014 · IEEE International Conference on Acoustics Speech and Signal Processing
4. ‘Mister D.J., Cheer Me Up!’:Musical and Textual Features for Automatic Mood Classification
   Björn Wolfgang Schuller, Clemens Hage, Dagmar Schuller, Gerhard Rigoll · 2010 · Journal of New Music Research
5. Autoencoder With Emotion Embedding for Speech Emotion Recognition
   Chenghao Zhang, Lei Xue · 2021 · IEEE Access
6. Recognizing Affect from Linguistic Information in 3D Continuous Space
   Björn Wolfgang Schuller · 2011 · IEEE Transactions on Affective Computing
7. Compact Graph Architecture for Speech Emotion Recognition
   Amir Shirian, Tanaya Guha · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
8. Robust Unsupervised Arousal Rating:A Rule-Based Framework withKnowledge-Inspired Vocal Features
   Daniel Bone, Chi-Chun Lee, Shrikanth Shri Narayanan · 2014 · IEEE Transactions on Affective Computing
9. Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)
   2014
10. A Survey on perceived speaker traits: Personality, likability, pathology, and the first challenge
    Björn Wolfgang Schuller, Stefan Steidl, Anton M. Batliner, Elmar Nöth, Alessandro Vinciarelli, Felix Burkhardt, R.J.J.H. van Son, Felix Johannes Weninger, Florian Eyben, Tobias Bocklet et al. · 2014 · Computer Speech & Language
11. Prediction on Mechanical Properties of Non-Equiatomic High-Entropy Alloy by Atomistic Simulation and Machine Learning
    Liang Zhang, Kun Qian, Björn Wolfgang Schuller, Yasushi Shibuta · 2021 · Metals
12. The Sound of Emotional Prosody: Nearly 3 Decades of Research and Future Directions
    Pauline Larrouy-Maestri, David Poeppel, Marc David Pell · 2024 · Perspectives on Psychological Science
13. Speaker-independent emotion recognition exploiting a psychologically-inspired binary cascade classification schema
    M. Kotti, F. Paternò · 2012 · International Journal of Speech Technology
14. Anchor Models for Emotion Recognition from Speech
    Yazid Attabi, Pierre Dumouchel · 2013 · IEEE Transactions on Affective Computing
15. Analysis and Classification of Cold Speech Using Variational Mode Decomposition
    S. Deb, S. Dandapat, J. Krajewski · 2020 · IEEE Transactions on Affective Computing
16. Detecting Unipolar and Bipolar Depressive Disorders from Elicited Speech Responses Using Latent Affective Structure Model
    Kun-Yi Huang, Chung‐Hsien Wu, Ming-Hsiang Su, Yu-Ting Kuo · 2018 · IEEE Transactions on Affective Computing
17. Weighted Krippendorff's alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation
    Antoine, Jean-Yves, Villaneau, Jeanne, Lefeuvre, Anaïs · 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
18. Formant position based weighted spectral features for emotion recognition
    Elif Bozkurt, Engin Erzin, Çiğdem Eroğlu Erdem, A. Tanju Erdem · 2011 · Speech Communication
19. Annotating and modeling empathy in spoken conversations
    Firoj Alam, Morena Danieli, G. Riccardi · 2017 · Computer Speech and Language
20. What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
    Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed M. Abdelatty Ali, James Robert Glass, Preslav Nakov · 2020 · Proceedings of the conference - Association for Computational Linguistics. Meeting
21. Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization
    Peng Song, Wenming Zheng, Shifeng Ou, Xinran Zhang, Yun Jin, Jinglei Liu, Yanwei Yu · 2016 · Speech Communication
22. Towards Empathetic Human-Robot Interactions
    Pascale Fung, Dario Bertero, Yan Wan, Anik Dey, Ricky Ho Yin Chan, Farhad Bin Siddique, Yang Yang, Chien-Sheng Wu, Ruixi Lin · 2018 · Lecture notes in computer science
23. Emotion Classification Using Segmentation of Vowel-Like and Non-Vowel-Like Regions
    S. Deb, S. Dandapat · 2019 · IEEE Transactions on Affective Computing
24. Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection
    Sheng-syun Shen, Hung-yi Lee · 2016 · Interspeech (USB)
25. Feature Pooling of Modulation Spectrum Features for Improved Speech Emotion Recognition in the Wild
    Anderson Raymundo Avila, Zahid Akhtar, João Felipe Santos, Douglas D. O’Shaughnessy, Tiago Henrique Falk · 2018 · IEEE Transactions on Affective Computing
26. Efficient speech emotion recognition using modified feature extraction
    Shadi Langari, H. Marvi, M. Zahedi · 2020 · Informatics in Medicine Unlocked
27. Words matter
    Patrick Donnelly, Nathaniel Blanchard, Andrew McGregor Olney, Sean Kelly, Martin Nystrand, Sidney K. D’Mello · 2017 · International Conference on Learning Analytics and Knowledge (LAK)
28. Exploration of Complementary Features for Speech Emotion Recognition Based on Kernel Extreme Learning Machine
    Lili Guo, Longbiao Wang, Jianwu Dang, Zhilei Liu, Haotian Guan · 2019 · IEEE Access
29. Fisher vectors with cascaded normalization for paralinguistic analysis
    Heysem Kaya, Alexey Anatolievich Karpov, Albert Ali Salah · 2015 · Interspeech (USB)
30. Speech Synthesis With Mixed Emotions
    Kun Zhou, Berrak Şişman, Rajib Kumar Rana, Björn Wolfgang Schuller, Haizhou Li · 2022 · IEEE Transactions on Affective Computing
31. Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning
    Jun Deng, Sascha Frühholz, Zi-Xing Zhang, Björn Schuller · 2017 · IEEE Access
32. Unsupervised domain adaptation for speech emotion recognition using PCANet
    Zheng-Wei Huang, Wentao Xue, Qirong Mao, Yongzhao Zhan · 2016 · Multimedia Tools and Applications
33. Real time speech emotion recognition using RGB image classification and transfer learning
    Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner · 2017 · International Conference on Signal Processing and Communication Systems
34. Dynamic Emotion Modeling With Learnable Graphs and Graph Inception Network
    Amir Shirian, Subarna Tripathi, Tanaya Guha · 2021 · IEEE Transactions on Multimedia
35. Cepstral and long-term features for emotion recognition
    Pierre Dumouchel, Najim Dehak, Yazid Attabi, Réda Dehak, Narjès Boufaden · 2009 · Interspeech (USB)
36. Detecting depression using a framework combining deep multimodal neural networks with a purpose-built automated evaluation.
    Ezekiel Victor, Zahra M. Aghajan, Amy R. Sewart, Ray Christian · 2019 · Psychological Assessment
37. Combining Multimodal Features within a Fusion Network for Emotion Recognition in the Wild
    Bo Sun, Liandong Li, Guoyan Zhou, Xuewen Wu, Jun Yi Derek He, Lejun Yu, Dongxue Li, Qinglan Wei · 2015 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
38. Emotion recognition in never-seen languages using a novel ensemble method with emotion profiles
    Enrique M. Albornoz, Diego Humberto Milone · 2015 · IEEE Transactions on Affective Computing
39. Emotion, age, and gender classification in children’s speech by humans and machines
    Heysem Kaya, Albert Ali Salah, Alexey Anatolievich Karpov, Olga V. Frolova, Aleksey Grigorev, Elena E. Lyakso · 2017 · Computer Speech & Language
40. Multiscale Amplitude Feature and Significance of Enhanced Vocal Tract Information for Emotion Classification
    S. Deb, S. Dandapat · 2019 · IEEE Transactions on Cybernetics
41. Emotion Recognition and Depression Diagnosis by Acoustic and Visual Features: A Multimodal Approach
    Sidorov, Maxim, Minker, Wolfgang · 2014 · Proceedings of the 4th International Workshop on Audio/Visual Emotion Challenge
42. Affective and behavioural computing: Lessons learnt from the First Computational Paralinguistics Challenge
    Björn Wolfgang Schuller, Felix Johannes Weninger, Yue Zhang, Fabien Ringeval, Anton M. Batliner, Stefan Steidl, Florian Eyben, Erik Marchi, Alessandro Vinciarelli, Klaus R. Scherer et al. · 2018 · Computer Speech & Language
43. HEU Emotion: a large-scale database for multimodal emotion recognition in the wild
    Jing Chen, Chenhui Wang, Kejun Wang, Chaoqun Yin, Cong Zhao, Tao Xu, Xinyi Zhang, Ziqiang Huang, Meichen Liu, Tao Yang · 2021 · Neural Computing and Applications
44. Deep attention-based neural networks for explainable heart sound classification
    Zhao Xu Ren, Kun Qian, Fengquan Dong, Zhenyu Dai, Wolfgang Nejdl, Yoshiharu Yamamoto, Björn Wolfgang Schuller · 2022 · Machine Learning with Applications
45. Multiview Supervised Dictionary Learning in Speech Emotion Recognition
    Mehrdad J. Gangeh, Pouria Fewzee, Ali Ghodsi, Mohamed S. Kamel, Fakhri Karray · 2014 · IEEE/ACM Transactions on Audio Speech and Language Processing
46. A Feature Fusion Method Based on Extreme Learning Machine for Speech Emotion Recognition
    Lili Guo, Longbiao Wang, Jianwu Dang, Linjuan Zhang, Haotian Guan · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
47. Dysarthric speech classification from coded telephone speech using glottal features
    N. P. Narendra, Paavo Alku · 2019 · Speech Communication
48. Exploiting the potentialities of features for speech emotion recognition
    Dongdong Li, Yijun Zhou, Zhe Wang, Daqi Gao · 2020 · Information Sciences
49. Multi-class and hierarchical SVMs for emotion recognition
    Ali Hassan, R.I. Damper · 2010 · Interspeech (USB)
50. Real-Time Recognition of Affective States from Nonverbal Features of Speech and Its Application for Public Speaking Skill Analysis
    Tomas Pfister, P. Robinson · 2011 · IEEE Transactions on Affective Computing
51. Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS—The Heart Sounds Shenzhen Corpus
    Fengquan Dong, Kun Qian, Zhao Xu Ren, Alice Baird, Xinjian Li, Zhenyu Dai, Bo Dong, Florian Metze, Yoshiharu Yamamoto, Björn Wolfgang Schuller · 2019 · IEEE Journal of Biomedical and Health Informatics
52. Class-specific multiple classifiers scheme to recognize emotions from speech signals
    Arulappan Milton, Sankar Tamil Selvi · 2013 · Computer Speech & Language
53. Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?
    Johannes Wagner, Dominik Schiller, Andreas Seiderer, Elisabeth André · 2018 · Interspeech (USB)
54. A multitask approach to continuous five-dimensional affect sensing in natural speech
    Florian Eyben, Martin Wöllmer, Björn Wolfgang Schuller · 2012 · ACM Transactions on Interactive Intelligent Systems
55. Application of speaker- and language identification state-of-the-art techniques for emotion recognition
    Marcel Kockmann, Lukáš Burget, Jaň Černocký · 2011 · Speech Communication
56. Machine learning- and statistical-based voice analysis of Parkinson’s disease patients: A survey
    Federica Amato, Giovanni Saggio, Valerio Cesarini, Gabriella Olmo, Giovanni Costantini · 2023 · Expert Systems with Applications
57. Medium-term speaker states—A review on intoxication, sleepiness and the first challenge
    Björn Wolfgang Schuller, Stefan Steidl, Anton M. Batliner, Florian Schiel, Jarek Krajewski, Felix Johannes Weninger, Florian Eyben · 2012 · Computer Speech & Language
58. Multimodal fusion of audio, scene, and face features for first impression estimation
    Furkan Gürpınar, Heysem Kaya, Albert Ali Salah · 2016 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
59. Advanced Data Exploitation in Speech Analysis: An overview
    Zixing Zhang, Nicholas Cummins, Björn Wolfgang Schuller · 2017 · IEEE Signal Processing Magazine
60. Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences
    N. P. Narendra, Paavo Alku · 2018 · Interspeech (USB)
61. Effective Attention Mechanism in Dynamic Models for Speech Emotion Recognition
    Po-Wei Hsiao, Chia-Ping Chen · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
62. Real-life emotion-related states detection in call centers: a cross-corpora study
    Laurence Y. Devillers, Christophe Vaudable, Clément Chastagnol · 2010 · Interspeech (USB)
63. Brno University of Technology system for Interspeech 2009 emotion challenge
    Marcel Kockmann, Lukáš Burget, Jaň Černocký · 2009 · Interspeech (USB)
64. Controlling Emotion Strength with Relative Attribute for End-to-End Speech Synthesis
    Xiaolian Zhu, Shan Yang, Geng Yang, Lei Xie · 2019 · IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)
65. Determination of Nonprototypical Valence and Arousal in Popular Music: Features and Performances
    Björn Wolfgang Schuller, Johannes Dorfner, Gerhard Rigoll · 2010 · EURASIP Journal on Audio Speech and Music Processing
66. Kolmogorov-Smirnov test for feature selection in emotion recognition from speech
    Alexei Ivanov, Giuseppe Riccardi · 2012 · IEEE International Conference on Acoustics Speech and Signal Processing
67. Emotion recognition in Arabic speech
    Samira Klaylat, Ziad Ahmad Osman, Lama Hamandi, Rached Zantout · 2018 · Analog Integrated Circuits and Signal Processing
68. Automatic classification of married couples' behavior using audio features
    Matthew Black, Athanasios Katsamanis, Chi-Chun Lee, Adam C. Lammert, Brian Baucom, Andrew Christensen, Panayiotis Georgiou, Shrikanth Shri Narayanan · 2010 · Interspeech (USB)
69. Learning to Detect Dysarthria from Raw Speech
    Juliette Millet, Neil Zeghidour · 2019 · IEEE International Conference on Acoustics Speech and Signal Processing
70. Deep-Learning-Based Detection of Infants with Autism Spectrum Disorder Using Auto-Encoder Feature Representation
    Jung Hyuk Lee, Geon Woo Lee, Guiyoung Bong, Hee Jeong Yoo, Hong Kook Kim · 2020 · Sensors
71. Estimation of unknown speaker’s height from speech
    Iosif Mporas, Todor Dimitrov Ganchev · 2009 · International Journal of Speech Technology
72. Learning emotion-discriminative and domain-invariant features for domain adaptation in speech emotion recognition
    Qirong Mao, Guopeng Xu, Wentao Xue, Jianping Gou, Yongzhao Zhan · 2017 · Speech Communication
73. MEC 2017: Multimodal Emotion Recognition Challenge
    Ya Li, Jianhua Tao, Björn Wolfgang Schuller, Shiguang Shan, Dongmei Jiang, Jia Jia · 2018 · Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)
74. Detecting Alzheimer’s Disease Using Gated Convolutional Neural Network from Audio Data
    Tifani Warnita, Nakamasa Inoue, Koichi Shinoda · 2018 · Interspeech (USB)
75. Detection of Specific Language Impairment in Children Using Glottal Source Features
    Mittapalle Kiran Reddy, Paavo Alku, Krothapalli Sreenivasa Rao · 2020 · IEEE Access
76. Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition
    Pascale Fung, Anik Dey, Farhad Bin Siddique, Ruixi Lin, Yang Yang, Dario Bertero, Yan Wan, Ricky Ho Yin Chan, Chien-Sheng Wu · 2016 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)
77. ROS for Human-Robot Interaction
    Youssef Mohamed, Séverin Lemaignan · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
78. Ensemble softmax regression model for speech emotion recognition
    Yaxin Sun, Guihua Wen · 2016 · Multimedia Tools and Applications
79. Nonnegative Matrix Factorization Based Transfer Subspace Learning for Cross-Corpus Speech Emotion Recognition
    Hui Luo, Jiqing Han · 2020 · IEEE/ACM Transactions on Audio Speech and Language Processing
80. Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives
    Shiqing Zhang, Ruixin Liu, Xin Tao, Xiaoming Zhao · 2021 · Frontiers in Neurorobotics
81. Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models
    Kun Qian, Zhihao Bao, Zhonghao Zhao, Tomoya Koike, Fengquan Dong, Maximilian Schmitt, Qunxi Dong, Jian Shen, Weipeng Jiang, Yajuan Jiang et al. · 2023 · Cyborg and Bionic Systems
82. Speech emotion recognition methods: A literature review
    Babak BashariRad, Mohammad Reza Moradhaseli · 2017 · AIP conference proceedings
83. Positive Emotion Elicitation in Chat-Based Dialogue Systems
    Nurul Lubis, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura · 2019 · IEEE/ACM Transactions on Audio Speech and Language Processing
84. Classification of emotional speech using 3DEC hierarchical classifier
    Ali Hassan, R.I. Damper · 2012 · Speech Communication
85. Ethics and Good Practice in Computational Paralinguistics
    Anton M. Batliner, Simone Hantke, Björn Wolfgang Schuller · 2020 · IEEE Transactions on Affective Computing
86. Affective speech interface in serious games for supporting therapy of mental disorders
    Θεόδωρος Κωστούλας, Iosif Mporas, Otilia Kocsis, Todor Dimitrov Ganchev, Nikos Katsaounos, Juan J. Santamaria, Susana Jiménez‐Múrcia, Fernando Fernández‐Aranda, Nikos Fakotakis · 2012 · Expert Systems with Applications
87. Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders
    Yasushi Nakai, Tetsuya Takiguchi, Gakuyo Matsui, Noriko Yamaoka, Satoshi Takada · 2017 · Perceptual and Motor Skills
88. Automatic Classification of Autistic Child Vocalisations: A Novel Database and Results
    Alice Baird, Shahin Amiriparian, Nicholas Cummins, Alyssa M. Alcorn, Anton M. Batliner, Sergey Pugachevskiy, Michael Freitag, Maurice Gerczuk, Björn Wolfgang Schuller · 2017 · Interspeech (USB)
89. Unsupervised Cross-Corpus Speech Emotion Recognition Using Domain-Adaptive Subspace Learning
    Na Liu, Yuan Zong, Baofeng Zhang, Li Liu, Jie Chen, Guoying Zhao, Junchao Zhu · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
90. Indonesia Hate Speech Detection Using Deep Learning
    Taufic Leonardo Sutejo, Dessi Puji Lestari · 2018 · International Conference on Asian Language Processing
91. Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications
    Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth · 2012 · Computer Speech & Language
92. Deep speaker conditioning for speech emotion recognition
    Andreas Triantafyllopoulos, Shuo Liu, Björn Wolfgang Schuller · 2021 · IEEE International Conference on Multimedia and Expo (ICME)
93. Emotion classification in children's speech using fusion of acoustic and linguistic features
    Tim Polzehl, Shiva Sundaram, Hamed Ketabdar, Michael Wagner, Florian Metze · 2009 · Interspeech (USB)
94. EmoChildRu: Emotional Child Russian Speech Corpus
    Elena E. Lyakso, Olga V. Frolova, Evgeniya Dmitrieva, Aleksey Grigorev, Heysem Kaya, Albert Ali Salah, Alexey Anatolievich Karpov · 2015 · Lecture notes in computer science
95. When Does Disengagement Correlate with Performance in Spoken Dialog Computer Tutoring?
    Kate Forbes-Riley, Diane J. Litman · 2013 · International Journal of Artificial Intelligence in Education
96. Emotion Recognition from Speech by Combining Databases and Fusion of Classifiers
    Iulia Lefter, Léon J. M. Rothkrantz, Pascal Wiggers, David A. van Leeuwen · 2010 · Lecture notes in computer science
97. Automatic assessment of intelligibility in speakers with dysarthria from coded telephone speech using glottal features
    N. P. Narendra, Paavo Alku · 2020 · Computer Speech & Language
98. Modeling gender information for emotion recognition using Denoising autoencoder
    Rui Xia, Jun Deng, Björn Wolfgang Schuller, Yang Liu · 2014 · IEEE International Conference on Acoustics Speech and Signal Processing
99. Sentence level emotion recognition based on decisions from subsentence segments
    Je Hun Jeon, Rui Xia, Yang Liu · 2011 · IEEE International Conference on Acoustics Speech and Signal Processing
100. Active learning by sparse instance tracking and classifier confidence in acoustic emotion recognition
     Zixing Zhang, Björn Wolfgang Schuller · 2012 · Interspeech (USB)