The INTERSPEECH 2009 emotion challenge

Cited by (934)

Items 701–800 of 934

1. “was that your mother on the phone?”: classifying interpersonal relationships between dialog participants with lexical and acoustic properties
   Denys Katerenchuk, David Guy Brizan, Andrew Rosenberg · 2014 · Interspeech (USB)
2. Robust scoring of voice exercises in computer-based speech therapy systems
   Diogo Mariana, Maxine Eskénazi, João Magalhães, Sofia Cavaco · 2016 · European Signal Processing Conference (EUSIPCO)
3. Towards autonomous machine reasoning: Multi-stage classification system with intermediate learning
   Melissa N. Stolar, Margaret Lech, Robert S. Bolia, Michael Skinner · 2017 · International Conference on Signal Processing and Communication Systems
4. Analyzing children’s affective reactions and preferences towards social robots using paralinguistic and self-reported information
   Humberto Pérez-Espinosa, Juan Martı́nez-Miranda, Himer Ávila-George, Ismael Edrein Espinosa‐Curiel · 2018 · Journal of Intelligent & Fuzzy Systems
5. A Study on a Spoken Dialogue System with Cooperative Emotional Speech Synthesis Using Acoustic and Linguistic Information
   Mai Yamanaka, Yuya Chiba, Takashi Nose, Akinori Ito · 2018 · Smart innovation, systems and technologies
6. Towards Improving Speech Emotion Recognition for In-Vehicle Agents
   Yuanchao Li · 2018 · International Conference on Human-Agent Interaction (HAI)
7. Multi-Modal Multi-Task Deep Learning For Speaker And Emotion Recognition Of TV-Series Data
   Sashi Novitasari, Quoc Truong, Sakriani Sakti, Dessi Puji Lestari, Satoshi Nakamura · 2018 · International Conference on Speech Database and Assessments
8. Discriminative Feature Learning for Speech Emotion Recognition
   Zhang Yuying, Yuexian Zou, Junyi Peng, Danqing Luo, Dongyan Huang · 2019 · Lecture notes in computer science
9. Making a Distinction Between Schizophrenia and Bipolar Disorder Based on Temporal Parameters in Spontaneous Speech
   Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann · 2020 · Interspeech (USB)
10. OCAE: Organization-Controlled Autoencoder for Unsupervised Speech Emotion Analysis
    Siwei Wang, Catherine Soladié, Renaud Séguier · 2019 · International Conference on Frontiers of Signal Processing (ICFSP)
11. k-FFNN: A priori knowledge infused Feed-forward Neural Networks
    Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu · 2017 · arXiv (Cornell University)
12. Affective computing using speech and eye gaze: a review and bimodal system proposal for continuous affect prediction
    Jonny O’Dwyer, Niall Murray, Ronan Flynn · 2018 · arXiv (Cornell University)
13. deepSELF: An Open Source Deep Self End-to-End Learning Framework
    Tomoya Koike, Kun Qian, Björn Wolfgang Schuller, Yoshiharu Yamamoto · 2020 · arXiv (Cornell University)
14. Analyzing Effect of Repeated Reading on Oral Fluency and Narrative Production for Computer-Assisted Language Learning
    Santosh Kumar Barnwal, Uma Shanker Tiwary · 2020 · arXiv (Cornell University)
15. Deep Attention-based Representation Learning for Heart Sound Classification
    Zhao Xu Ren, Kun Qian, Fengquan Dong, Dai, Zhenyu, Yoshiharu Yamamoto, Björn Wolfgang Schuller · 2021 · arXiv (Cornell University)
16. Automatic recognition of engagement and emotion in a group of children
    Jaebok Kim · 2018
17. Emotion Recognition in Kashmiri Speech: Evaluating Coefficient-Based Acoustic Features Using Bidirectional LSTM Networks
    Gh. Mohmad Dar, Radhakrishnan Delhibabu · 2025 · Procedia Computer Science
18. MFE-Former: Disentangling Emotion-Identity Dynamics via Self-Supervised Learning for Enhancing Speech-Driven Depression Detection
    Hao Wang, Jiayu Ye, Yanhong Yu, Lu Lin, Lin Yuan, Qingxiang Wang · 2025 · IEEE Journal of Biomedical and Health Informatics
19. Cross-Corpus Speech Emotion Recognition Based on Attention-Driven Feature Refinement and Spatial Reconstruction
    Huawei Tao, Yixing Jiang, Qianqian Li, Li Zhao, Zhizhe Yang · 2025 · Information
20. Exploring Acoustic Correlates of Depression and Preliminary Screening Models Using XGBoost and SHAP
    Kwang-Ho Seok, Jaeeun Shin, Sung‐Man Bae · 2025 · Behavioral Sciences
21. Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis
    Simone Hantke, Christoph Stemp, Björn Wolfgang Schuller · 2018 · Interspeech (USB)
22. Analyzing Synergetic Functions of Listener’s Head Movements and Aizuchi in Conversations
    Kaito Iizuka, Kazuhiro Otsuka · 2023 · Transactions of the Japanese Society for Artificial Intelligence
23. Prediction of Various Backchannel Utterances Based on Multimodal Information
    Toshiki Onishi, Naoki Azuma, Shunichi Kinoshita, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata · 2023 · ACM International Conference on Intelligent Virtual Agents (IVA)
24. Towards Sustainable Development in Speech Recognition: Enhancing Emotional Understanding in Bilingual Societies
    Oxana V. Goncharova · 2024 · Journal of Lifestyle and SDGs Review
25. Investigation on the Fusion of Multi-modal and Multi-person Features in RNNs for Detecting the Functional Roles of Group Discussion Participants
    Hung‐Hsuan Huang, Toyoaki Nishida · 2020 · Lecture notes in computer science
26. Using Performance Trajectories to Analyze the Immediate Impact of User State Misclassification in an Adaptive Spoken Dialogue System
    Kate Forbes-Riley, Diane J. Litman · 2011
27. Objective study of the performance degradation in emotion recognition through the AMR-WB+ codec
    Aaron Albin, Elliot Moore · 2015 · Interspeech (USB)
28. Going deep: Improving Music Emotion Recognition with layers of Support Vector Machines
    Yu-Jen Hsu, Chia-Ping Chen · 2016 · CRC Press eBooks
29. Emotion Modelling via Speech Content and Prosody: In Computer Games and Elsewhere
    Björn Wolfgang Schuller · 2016 · Socio-affective computing
30. Integration framework for speech processing with live visualization interfaces
    David Brodeur, François Grondin, Yazid Attabi, Pierre Dumouchel, François Michaud · 2016 · IEEE RO-MAN
31. Decision support in process of recognizing emotion in speech
    V Pavan Kalyan · 2016 · Machine Learning and Data Analysis
32. Could Emotions Be Beneficial for Interaction Quality Modelling in Human-Human Conversations?
    Anastasiia Spirina, Wolfgang Minker, Sidorov Maxim Yuryevich · 2017 · Lecture notes in computer science
33. Emotion Recognition from Speech
    Andreas Wendemuth, Bogdan Vlasenko, Ingo Siegert, Ronald Böck, Friedhelm Schwenker, Günther Palm · 2017 · Cognitive technologies
34. Functional-Based Acoustic Group Feature Selection for Automatic Recognition of Eating Condition
    Dara Pir · 2018 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
35. Dialogue Breakdown Detection Based on Nonlinguistic Acoustic Information
    Motoki Abe, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura · 2018 · IEEE Global Conference on Consumer Electronics (GCCE)
36. Automatic Detection of Prosodic Focus in American English
    Sunghye Cho, Mark Liberman, Yong-cheol Lee · 2019 · Interspeech (USB)
37. Predicting Emotional Valence of People Living with the Human Immunodeficiency Virus Using Daily Voice Clips: A Preliminary Study
    Ray F. Lin, Shu‐Hsing Cheng, Yung-Ping Liu, Cheng‐Pin Chen, Yi-Jyun Wang, Shu‐Ying Chang · 2021 · Healthcare
38. Voice-Based Gender and Emotion Prediction Using Convolutional Neural Network
    Arshiya Firdos, T. Amrutha, Chaithra Chaithra, N D Tejaswini, K. M. Deepika · 2021 · Lecture notes in electrical engineering
39. RESONATE: Reverberation environment simulation for improved classification of speech models
    Robert F. Dickerson, Enamul Hoque, Philip Asare, Shahriar Nirjon, John A. Stankovic · 2014 · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
40. RESERVOIR COMPUTING WITH TRUNCATED NORMAL DISTRIBUTION FOR SPEECH EMOTION RECOGNITION
    Hemin Ibrahim, Chu Kiong Loo · 2022 · Malaysian Journal of Computer Science
41. An Exploratory Study on Group Potency Classification from Non-verbal Social Behaviours
    Nicola Corbellini, Eleonora Ceccaldi, Giovanna Varni, Gualtiero Volpe · 2023 · Lecture notes in computer science
42. A Novel Emotion Recognizer from Speech Using Both Prosodic and Linguistic Features
    Motoyuki Suzuki, Seiji Tsuchiya, Fuji Ren · 2011 · Lecture notes in computer science
43. Development and Evaluation of the Emotional Slovenian Speech Database - EmoLUKS
    Tadej Justin, Vitomir Štruc, Janez Žibert, France Mihelič · 2015 · Lecture notes in computer science
44. Improving Semi-Supervised Classification for Low-Resource Speech Interaction Applications
    Manoj Kumar, Pavlos Papadopoulos, Ruchir Travadi, Daniel Bone, Shrikanth Shri Narayanan · 2018 · IEEE International Conference on Acoustics Speech and Signal Processing
45. Automated Classification of Children’s Linguistic versus Non-Linguistic Vocalisations
    Zixing Zhang, Alejandrina Cristià, Anne S. Warlaumont, Björn Wolfgang Schuller · 2018 · Interspeech (USB)
46. Posterior Calibration for Multi-Class Paralinguistic Classification
    Gábor Gosztolya, Róbert Busa‐Fekete · 2018 · IEEE Spoken Language Technology Workshop (SLT)
47. Avoiding Mistakes in Medical High-Tech Treatments and E-Commerce Applications – a Salutary UX-Research Innovation
    Christina Miclau, Oliver Gast, Julius Hertel, Anja Wittmann, Achim Hornecker, Andrea Mueller · 2019 · Lecture notes in computer science
48. Development of Emotion Rankers Based on Intended and Perceived Emotion Labels
    Zhenghao Jin, Houwei Cao · 2019 · Interspeech (USB)
49. Speech-Based Dementia Classification for FTLD Diagnosis Support
    Shunya Hanai, Shōhei Kato, Koichi Sakaguchi, Takuto Sakuma, Reiko Ohdake, Michihito Masuda, Hirohisa Watanabe · 2021 · IEEE Global Conference on Life Sciences and Technologies (LifeTech)
50. A New Method for Predicting Severity Level of Dysarthric Speech Based on Joint Feature-Sample Selection using Audio-Visual Data
    Shangjun Lu, Xiaoxia Du, Juan Liu, Yumei Zhang, Shaofeng Zhao, Rongfeng Su, Lan Wang, Nan Yan · 2022 · International Conference on Asian Language Processing
51. Generalized Ambiguity Decomposition for Understanding Ensemble Diversity
    Kartik Audhkhasi, Abhinav Sethy, Bhuvana Ramabhadran, Shrikanth Shri Narayanan · 2013 · arXiv (Cornell University)
52. Learning representations of speech from the raw waveform
    Neil Zeghidour · 2019 · theses.fr (ABES)
53. Interpersonal Relationship Labels for the CALLHOME Corpus
    Denys Katerenchuk, David Guy Brizan, Andrew Rosenberg · 2018 · Language Resources and Evaluation Conference (LREC)
54. Urgent Voicemail Detection Focused on Long-term Temporal Variation
    Hosana Kamiyama, Atsushi Ando, Ryo Masumura, Satoshi Kobashikawa, Yushi Aono · 2019 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
55. Contribution of modulation spectral features for cross-lingual speech emotion recognition under noisy reverberant conditions
    Taiyang Guo, Sixia Li, Shunsuke Kidani, Shogo Okada, Masashi Unoki · 2023 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
56. Detecting Praising Behaviors Based on Multimodal Information
    Toshiki Onishi, Asahi Ogushi, Ryo Ishii, Akihiro MIYATA · 2025 · IEICE Transactions on Information and Systems
57. Emotion Estimation Using ConvNeXt Based on Feature Extraction from Imaged MFCC
    Ryosuke Noda, Tomoaki Hashimoto · 2025 · International Conference on Robotics and Computer Vision (ICRCV)
58. Audio-Based Screening of Respiratory Diseases Using Machine Learning: A Methodological Framework Evaluated on a Clinically Validated COVID-19 Cough Dataset
    Arley Magnolia Aquino-García, Humberto Pérez-Espinosa, Javier Andreu-Pérez, Ansel Y. Rodríguez‐González · 2026 · Machine Learning and Knowledge Extraction
59. Comparative Evaluation of Diverse Features in Fluency Evaluation of Spontaneous Speech
    Huaijin Deng, Takehito Utsuro, Akio Kobayashi, Hiromitsu Nishizaki · 2022 · IEICE Transactions on Information and Systems
60. Hybrid Depression Detection from Spontaneous Speech via RFE-Majority Voting and WavLM-Based Attention
    Dalia Attas · 2025 · Lecture notes in computer science
61. Punctual or Continuous? Analyzing Depression Traces in Language and Paralanguage with Multiple Instance Learning
    Rawan Alsarrani, Anna Aurelia Esposito, Alessandro Vinciarelli · 2025 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
62. Emotion recognition using deep learning models in Chinese speech
    Ko-Chun Hung, Ammar Amjad, Yi‐Ping Chao, Hsien-Tsung Chang · 2025 · Entertainment Computing
63. Amd'SaEr: Arabic Multimodal Dataset for Sentiment Analysis and Emotion Recognition
    Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, Hadda Cherroun · 2025 · ACM Transactions on Asian and Low-Resource Language Information Processing
64. Charting 15 Years of Progress in Deep Learning for Speech Emotion Recognition: A Replication Study
    Andreas Triantafyllopoulos, Anton M. Batliner, Bjorn W. Schuller · 2026 · IEEE Transactions on Affective Computing
65. SmoothCLAP: Soft-Target Enhanced Contrastive Language-Audio Pretraining for Affective Computing
    Xin Jing, Jiadong Wang, Andreas Triantafyllopoulos, Maurice Gerczuk, Shahin Amiriparian, Jun Luo, Björn Schuller · 2026 · IEEE International Conference on Acoustics Speech and Signal Processing
66. A frequency analysis of filterbank initialisation and noise augmentation for LEAF
    Manuel Milling, Andreas Triantafyllopoulos, Simon Rampp, Björn Wolfgang Schuller · 2026 · Scientific Reports
67. SpeechDETECT: an explainable automated speech processing pipeline for early detection of neurological and health changes
    Maryam Zolnoori, Elyas Esmaeili, Mehdi Naserian, Ali Zolnour, Sina Rashidi, Tahoura Morovati, Hossein Azadmaleki, Zhihong Zhang, JAMES M. NOBLE, Margaret V. McDonald · 2026 · Health Information Science and Systems
68. Multimodal Emotion Recognition Based on the Decoupling of Emotion and Speaker Information
    Rok Gajšek, Vitomir Štruc, France Mihelič · 2010 · Lecture notes in computer science
69. Applications in Intelligent Speech Analysis
    Björn Wolfgang Schuller · 2013 · Signals and communication technology
70. Predicting semantic changes in abstraction in tutor responses to students
    Michael Lipschultz, Diane J. Litman, Sandra Katz, Patricia Albacete, Pamela Jordan · 2014 · International Journal of Learning Technology
71. Speech analysis methodologies towards unobtrusive mental health monitoring
    John Canny, Keng-hao Chang · 2012
72. Toward improving estimation accuracy of emotion dimensions in bilingual scenario based on three-layered model
    Xingfeng Li, Masato Akagi · 2015 · International Conference Oriental COCOSDA held jointly with Conference on Asian Spoken Language Research and Evaluation
73. Analysis and Assessment of State Relevance in HMM-Based Feature Extraction Method
    Rok Gajšek, Simon Dobrišek, France Mihelič · 2012 · Lecture notes in computer science
74. Standard Baseline Feature Sets
    Florian Eyben · 2015 · Springer theses
75. Memorable spoken quote corpora of TED public speaking
    Fajri Koto, Sakriani Sakti, Graham Neubig, Tomoki Toda, Mirna Adriani, Satoshi Nakamura · 2014 · International Conference on Speech Database and Assessments
76. Validating “Is ECC-ANN combination equivalent to DNN?” for speech emotion recognition
    Rupayan Chakraborty, Sunil Kumar Kopparapu · 2016 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
77. Direct Incorporation of $$L_1$$-Regularization into Generalized Matrix Learning Vector Quantization
    Falko Lischke, Thomas Neumann, Sven Hellbach, Thomas Villmann, Hans-Joachim Böhme · 2018 · Lecture notes in computer science
78. Classification of Formal and Informal Dialogues Based on Emotion Recognition Features
    György Kovács · 2018 · Lecture notes in computer science
79. Prosodic Feature Criterion for Hebrew Using Different Feature Sets
    Ben Fishman, Irit Opher · 2018 · IEEE Convention of Electrical and Electronics Engineers in Israel
80. A Novel Bag-of-Optimised-Clusters Front-End for Speech based Continuous Emotion Prediction
    Deboshree Bose, Ting Dang, Vidhyasaharan Sethu, Eliathamby Ambikairajah A, Sarith Fernando · 2019 · International Conference on Affective Computing and Intelligent Interaction and workshops
81. Classification of Barking Context of Domestic Dog using High-Level Descriptors
    Benjamín Gutiérrez-Serafín, Humberto Pérez-Espinosa, Juan Martı́nez-Miranda, Ismael Edrein Espinosa‐Curiel · 2019 · Research in Computing Science
82. An Automatic Cue to Activate a Meeting
    Akimasa Kimura, Atsushi Ito · 2020 · IEEE International Conference on Cognitive Infocommunications
83. SFTRLS-Based Speech Enhancement Method Using CNN to Determine the Noise Type and the Optimal Forgetting Factor
    Deyou Tang, Guoqiang Chen · 2021 · IEEE International Conference on Pattern Recognition and Machine Learning (PRML)
84. Attachment Recognition in School-Age Children: A Multimodal Approach Based on Language and Paralanguage Analysis
    Huda Alsofyani, Alessandro Vinciarelli · 2022 · IEEE International Conference on Acoustics Speech and Signal Processing
85. Correlations Between Positive or Negative Utterances and Basic Acoustic Features of Voice: a Preliminary Analysis
    Łukasz Stolarski · 2022 · Research in Language
86. A framework for quality assessment of synthesised speech using learning-based objective evaluation
    Shrikant Malviya, Rohit Mishra, Santosh Kumar Barnwal, Uma Shanker Tiwary · 2023 · International Journal of Speech Technology
87. Novel Task-Based Unification and Adaptation (TUA) Transfer Learning Approach for Bilingual Emotional Speech Data
    Ismail Mohd Adnan Shahin, Ali Bou Nassif, Rameena Thomas, Shibani Hamsa · 2023 · Information
88. Speech-Based Automatic Prediction of Interview Traits
    Deepak Kumar, Balasubramanian Raman · 2023 · Communications in computer and information science
89. AMNet: Introducing an Adaptive Mel-Spectrogram End-to-End Neural Network for Heart Sound Classification
    Yang Tan, Zhihua Wang, Kun Qian, Zhihao Bao, Zheyu Cao, Bin Hu, Yoshiharu Yamamoto, Björn Wolfgang Schuller · 2023 · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom)
90. Spontaneous children's emotion recognition by categorical classification of acoustic features
    Santiago Planet, Ignasi Iriondo · 2011 · Iberian Conference on Information Systems and Technologies (CISTI)
91. Feature representation for speech emotion recognition
    Mehdi Abdollahpour, Jafar Zamani, Hamidreza Saligheh Rad · 2017 · Iranian Conference on Electrical Engineering
92. Analysis of Overlapping Speech and Emotions for Interaction Quality Estimation
    Anastasiia Spirina, Olesia Vaskovskaia, Sidorov Maxim Yuryevich · 2017 · Lecture notes in computer science
93. Ensemble System for Multimodal Emotion Recognition Challenge (MEC 2017)
    Xiaotong Zhang, Mingxing Xu, Thomas Fang Zheng · 2018 · Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)
94. Feature Analysis for Emotional Content Comparison in Speech
    Zied Mnasri, Stefano Rovetta A, Francesco Masulli · 2019 · Advances in intelligent systems and computing
95. Cross-Lingual Transfer Learning for Affective Spoken Dialogue Systems
    Kristijan Gjoreski, Aleksandar Gjoreski, Ivan Kraljevski, Diane Hirschfeld · 2019 · Interspeech (USB)
96. Interaction Process Label Recognition in Group Discussion
    Sixia Li, Shogo Okada, Jianwu Dang · 2019 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
97. Literature Survey on Emotion Recognition for Social Signal Processing
    A. Vijayalakshmi, P. Mohanaiah · 2019 · Lecture notes in electrical engineering
98. A Siamese Neural Network with Modified Distance Loss For Transfer Learning in Speech Emotion Recognition Kexin Feng.
    Kexin Feng, Theodora Chaspari · 2020 · National Conference on Artificial Intelligence
99. Emotional Content Comparison in Speech Signal Using Feature Embedding
    Stefano Rovetta A, Zied Mnasri, Francesco Masulli · 2020 · Smart innovation, systems and technologies
100. Cross-Corpus Speech Emotion Recognition Based on Hybrid Neural Networks
     Abdul Rehman, Zhentao Liu, Danyun Li, Bao-Han Wu · 2020 · Chinese Control Conference (CCC)