The INTERSPEECH 2009 emotion challenge

Cited by (934)

Items 801–900 of 934

1. Easy Detection of Rare Dementia Based on Speech Analysis
   Shunya Hanai, Shōhei Kato, Koichi Sakaguchi, Takuto Sakuma, Reiko Ohdake, Michihito Masuda, Hirohisa Watanabe · 2020 · IEEE Global Conference on Consumer Electronics (GCCE)
2. Multimodal Prediction of Public Trust in Politicians from Speech and Text
   Muhammad Shehram Shah Syed, Elena Pirogova, Margaret Lech · 2020 · International Conference on Signal Processing and Communication Systems
3. Convolutional and Recurrent Neural Networks for Spoken Emotion Recognition
   Aaron Keesing, I. J. Watson, Michael Witbrock · 2020
4. Deep Neural Network Architectures for Speech Deception Detection: A Brief Survey
   Andrey Lucas Herchonvicz, Rafael de Santiago · 2021 · Lecture notes in computer science
5. Multimodal Modeling of Task-Mediated Confusion
   Camille Mince, Skye Rhomberg, Cecilia Ovesdotter Alm, Reynold Bailey, Alexander G. Ororbia · 2022 · Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop (NAACL SRW)
6. Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack
   Basmah Alsenani, Tanaya Guha, Alessandro Vinciarelli · 2023 · Interspeech (USB)
7. Audio-Visual Event Recognition with Graphical Models
   Benedikt Hörnler · 2011
8. Research on several key technologies in practical speech emotion recognition
   Chengwei Huang · 2017 · arXiv (Cornell University)
9. Learning to detect dysarthria from raw speech
   Juliette Millet, Neil Zeghidour · 2018 · arXiv (Cornell University)
10. Functional Aspects
    Björn Wolfgang Schuller, Anton M. Batliner · 2013 · Wiley eBooks
11. Towards Universal End-to-End Affect Recognition from Multilingual Speech by ConvNets
    Dario Bertero, Onno Pepijn Kampman, Pascale Fung · 2019 · arXiv (Cornell University)
12. Automated screening methods for mental and neuro-developmental disorders
    Syed Mohammed · 2018 · ORCA Online Research @Cardiff (Cardiff University)
13. Dynamic Estimation of Rater Reliability using Multi-Armed Bandits
    Alexey Tarasov · 2014 · Arrow - TU Dublin (Technological University Dublin)
14. Formal Aspects
    2013 · Wiley eBooks
15. Reconocimiento de emociones utilizando técnicas de aprendizaje maquinal
    Máximo Eduardo Sánchez Gutiérrez · 2013
16. Adaptation of Speaker and Speech Recognition Methods for the Automatic Screening of Speech Disorders using Machine Learning
    José Vicente Egas-López · 2023
17. Characterisation and generation of expressivity in function of speaking styles for audiobook synthesis
    Aghilas Sini · 2020 · theses.fr (ABES)
18. Machine‐Based Modelling
    Björn Wolfgang Schuller, Anton M. Batliner · 2013 · Wiley eBooks
19. Aspects of Modelling
    2013 · Wiley eBooks
20. Speaker Recognition and Speaker Characterization over Landline, VoIP and Wireless Channels
    Laura Fernández Gallardo · 2013 · International Conference on Affective Computing and Intelligent Interaction and workshops
21. Automatic Emotion Recognition from Cochlear Implant-Like Spectrally Reduced Speech
    Md. Jahangir Alam, Yazid Attabi, Patrick J Kenny, Pierre Dumouchel, Douglas D. O’Shaughnessy · 2014 · Lecture notes in computer science
22. Emotions in engineering: methods for the interpretation of ambiguous emotional content
    Emily Mower · 2015
23. Applications in Intelligent Speech Analysis
    Francis Scott Fitzgerald · 2013
24. Cognitive-inspired speaker affective state profiling
    Kamaruddin Norhaslinda · 2012 · DR-NTU (Nanyang Technological University)
25. Affective Speech Recognition
    Fewzee Youssefi, Seyyed Pouria · 2015 · UWSpace (University of Waterloo)
26. Discussion and Outlook
    Florian Eyben · 2015 · Springer theses
27. Speaker clustering in emotion recognition
    Ni Ding, Julien Epps · 2012 · Interspeech (USB)
28. Les reconnaissances de la parole.
    Marie-José Caraty, Claude Montacié · 2010 · Studia informatica universalis
29. 台灣情緒語料庫建置與辨識 (An Emotional Speech Database in Taiwan: Collection and Recognition) [In Chinese]
    Bo-Chang Chiou, Chia-Ping Chen · 2014 · International Conference on Computational Linguistics
30. Automatic quantification and prediction of human subjective judgments in behavioral signal processing
    Black, Matthew P. (author) · 2012 · University of Southern California Digital Library
31. Context Recognition Methods using Audio Signals for Human-Machine Interaction
    Mohit Shah · 2015
32. Performance estimation of spontaneous speech recognition using non-reference acoustic features
    Ling Guo, Takeshi Yamada, Shoji Makino · 2016 · Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
33. 標記對於類神經語音情緒辨識系統辨識效果之影響(Effects of Label in Neural Speech Emotion Recognition System)[In Chinese].
    Tung-Han Wu, Chia-Ping Chen · 2016 · International Conference on Computational Linguistics
34. Support Super-Vector Machines in Automatic Speech Emotion Recognition
    Chia-Ying Chen, Chia-Ping Chen · 2016 · International Conference on Computational Linguistics
35. Speech Emotion Recognition Based on Feature Fusion
    Qi Shen, Guanggen Chen, Lin Chang · 2017 · International Conference on Materials Science, Machinery and Energy Engineering (MSMEE)
36. Bodo pametni nadzorni sistemi prisluhnili, razumeli in spregovorili slovensko?
    Simon Dobrišek, Vitomir Štruc, Boštjan Vesnicer, France Mihelič · 2013 · Slovenščina 2 0 empirične aplikativne in interdisciplinarne raziskave
37. Significance of Interaction Parameter Levels in Interaction Quality Modelling for Human-Human Conversation
    Anastasiia Spirina, Alina Skorokhod, Tatiana Karaseva, Iana S. Polonskaia, Sidorov Maxim Yuryevich · 2017 · Lecture notes in computer science
38. Analysis of Interaction Parameter Levels in Interaction Quality Modelling for Human-Human Conversation
    Anastasiia Spirina, Olesia Vaskovskaia, Tatiana Karaseva, Alina Skorokhod, Iana S. Polonskaia, Sidorov Maxim Yuryevich · 2017 · Lecture notes in computer science
39. An Investigation into the Effects of Using Dynamic Representation to Reflect Users’ Emotional States During Physical Activity
    Holly Dent · 2017 · The University of Bath Online Publications Store (The University of Bath)
40. Arvutiparalingvistika väljakutsed ja eesti hääle meeldivus
    Hille Pajupuu, Jaan Pajupuu, Rene Altrov · 2017 · Mäetagused
41. Deep learning-based water-intake estimation method using second half of swallowing sound
    Yutaro Yamada, Masafumi Nishimura, Hiroshi Mineno, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri · 2017 · IEEE Global Conference on Consumer Electronics (GCCE)
42. Using Teacher-Student Model For Emotional Speech Recognition[In Chinese]
    Po-Wei Hsiao, Po-Chen Hsieh, Chia-Ping Chen · 2017 · International Conference on Computational Linguistics
43. Entropy Based Boundary-Eliminated Pseudo-Inverse Linear Discriminant for Speech Emotion Recognition
    Dongdong Li, Linyu Sun, Zhe Wang, Jing Zhang · 2018 · Lecture notes in computer science
44. Razvoj zbirke slovenskega čustvenega govora iz radijskih iger – EmoLUKS
    Tadej Justin, France Mihelič, Janez Žibert · 2015 · Slovenščina 2 0 empirične aplikativne in interdisciplinarne raziskave
45. Facial Expression Classification Using R-CNN Based Methods
    Pengfei Sun · 2019 · Tuwhera (Auckland University of Technology)
46. Automated analysis of non-verbal behaviour of schizophrenia patients
    Debsubhra Chakraborty · 2019
47. Estimating Personal Preference Information on the Basis of Relationship Between Content and Tone of Utterance
    Kazuya Mera, Masahito Aoyama, Yoshiaki Kurosawa, Toshiyuki Takezawa · 2019 · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
48. Model Smoothing Using Virtual Adversarial Training for Speech Emotion Estimation
    Toyoaki Kuwahara, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga · 2019 · IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science (BCD)
49. Siamese Attention-Based LSTM for Speech Emotion Recognition
    Tashpolat Nizamidin, Li Zhao, Ruiyu Liang, Yue Xie, Askar Hamdulla · 2020 · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences
50. Applying Speech Tempo-Derived Features, BoAW and Fisher Vectors to Detect Elderly Emotion and Speech in Surgical Masks
    Gábor Gosztolya, László Tóth · 2020 · arXiv (Cornell University)
51. Policy Reuse for Dialog Management Using Action-Relation Probability
    Tung T. Nguyen, Koichiro Yoshino, Sakriani Sakti, Satoshi Nakamura · 2020 · IEEE Access
52. RETRACTED: Recognizing Student’s Learning-Centered Affective States in Conversation with Intelligent Multimodal Analytics
    Shimeng Peng, Shigeki Ohira, Katashi Nagao · 2020 · Creative Education · Retracted
53. Learning an Unsupervised and Interpretable Representation of Emotion from Speech
    Siwei Wang, Catherine Soladié, Renaud Séguier · 2020 · Lecture notes in computer science
54. Packing, Stacking, and Tracking: An Empirical Study of Online User Adaptation
    Jean-Sébastien Laperrière, Darryl Lam, Kotaro Funakoshi · 2020 · Lecture notes in electrical engineering
55. An Empirical Study on Feature Extraction in DNN-Based Speech Emotion Recognition
    Panikos Heracleous, Kohichi Takai, Yanan Wang, Keiji Yasuda, Akio Yoneyama, Yasser F. O. Mohammad · 2020 · Communications in computer and information science
56. Real-Time Facial Expression and Speech Emotion Recognition App Development on Mobile Phones using Cloud Computing
    Humaid Alshamsi · 2018
57. Man vs Machine: Comparing cross-lingual automatic and human emotion recognition in background noise
    Jiska Koemans · 2020
58. An Approach for Assisting Diagnosis of Alzheimer’s Disease Based on Multi-Model Features of Narrative Speech
    Ning Liu, Qingfeng Tang, Kexue Luo · 2021 · Research Square
59. Toward human-centered visual design based on sound symbolic information
    Shota A. Murai, Tamaki Noguchi, Makoto Matsumoto, Sachi Itagaki, Kohta I. Kobayasi · 2021 · IEEE Global Conference on Life Sciences and Technologies (LifeTech)
60. Unsupervised Online Grounding for Social Robots
    Oliver Roesler, Elahe Bagheri · 2021 · Robotics
61. Detection of Basic Emotions from Cats’ Meowing
    Qianlong Shou, Yumeng Xu, Junjun Jiang, Min Huang, Zhongzhe Xiao · 2021 · Lecture notes in electrical engineering
62. VFep: 3D Graphic Face Representation Based on Voice-based Emotion Recognition
    Tomoya Suzuki, Akihito Taya, Yoshito Tobe · 2021 · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
63. Optimized recurrent neural network based emotion recognition using speech for Assamese language
    2021 · Journal of Mathematical and Computational Science
64. The Challenges of Forensic Linguistic Analysis of False Testimony
    Elena I. Galyashina · 2021 · The European Journal of Social & Behavioural Sciences
65. Attention-based sequence modeling for categorical emotion recognition with modulation spectral feature
    Zhichao Peng, HE Wen-hua, Hongji Tang, Minlei Xiao, Ruwei Luo · 2020 · International Conference on Information Science and Control Engineering
66. Identifying Speaker State from Multimodal Cues
    Zixiaofan Yang · 2021
67. Automatic Emotion Recognition from Speech A PhD Research Proposal
    Yazid Attabi, Pierre Dumouchel · 2011 · Lecture notes in computer science
68. Discussion
    Björn Wolfgang Schuller · 2013 · Signals and communication technology
69. Introduction
    Aijun Li · 2015 · Prosody, phonology and phonetics
70. Prosody Transfer from a Small Amount of Voice using Fine Tuning
    Taiga Tokushima, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga · 2022 · International Conference on Advanced Research in Computing (ICARC)
71. Major depressive disorder detection in polytechnic college students
    N Janardhan, Nandhini Kumaresh · 2022 · International Journal of Health Sciences
72. Ist Stimme das neue Blut? KI und Stimmbiomarker zu früheren Diagnose – für jedermann, überall und jederzeit
    Dagmar Schuller, Björn Wolfgang Schuller · 2022 · Springer eBooks
73. Corpus Engineering
    2013 · Wiley eBooks
74. Appendix
    2013 · Wiley eBooks
75. Audio Recognition
    Björn Wolfgang Schuller · 2013 · Signals and communication technology
76. The structure of influence tactics: a cartoon-based measurement system derived from the theater concept of dramatic action
    Yuvalal Liron, Noa Raindel, Uri Alon · 2018
77. Introduction
    Florian Eyben · 2015 · Springer theses
78. Evaluation
    Florian Eyben · 2015 · Springer theses
79. Investigations of the potential of acoustic speech regions for detecting hostile talking in Algerian Dialect and German language
    Fayçal Ykhlef, Wahiba Benzaba, Ratiba Boutaleb, Djamel Bouchaffra, Abdeladhim Derbal · 2022 · Applied Acoustics
80. Spoken Dialogue Method Considering Nonlinguistic Emotion Expression of User
    Kazuya Mera, Yoshiaki Kurosawa, Toshiyuki Takezawa · 2022 · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
81. Progressive distribution adapted neural networks for cross-corpus speech emotion recognition
    Yuan Zong, Hailun Lian, Jiacheng Zhang, Er‐Cui Feng, Cheng Lu, Hongli Chang, Chuangao Tang · 2022 · Frontiers in Neurorobotics
82. Information-gathering dialog system using acoustic features and user’s motivation
    良太 栂井, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura · 2022 · IAES International Journal of Artificial Intelligence
83. Diversity subspace generation based on feature selection for speech emotion recognition
    Qing Ye, Yaxin Sun · 2023 · Multimedia Tools and Applications
84. Design of Intelligent models for Multimodal Socio-Affective Computing
    Cristina Luna-Jiménez · 2023
85. Validation of scrambling methods for vocal affect bursts
    Annika C. Ziereis, Annekathrin Schacht · 2023 · Behavior Research Methods
86. Automatic Speech Emotion Recognition and Mind Status Classification Based on Deep Learning
    D C Shubhangi, Baswaraj Gadgay, Nagaratnamma · 2023 · IEEE International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
87. Analysis-by-synthesis in prosody research
    Rüdiger Hoffmann · 2012 · Speech prosody
88. Acoustic and phonetic differences in laughter of male children and adults
    Caroline Menezes · 2012 · Speech prosody
89. Empirical Analysis of Individual Differences Based on Sentiment Estimation Performance Toward Speaker Adaptation for Social Signal Processing
    Sixia Li, Shogo Okada · 2024 · Lecture notes in computer science
90. Automatic mild cognitive impairment estimation from the group conversation of coimagination method
    Sixia Li, Kazumi Kumagai, Mihoko Otake, Shogo Okada · 2024 · INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION
91. Joint Distribution-Aligned Dual-Sparse Linear Regression for Cross-Stimulus Speech-Based Depression Detection
    Yingying Lu, Cheng Lu, Yuan Zong, Feng Zhou, Chuangao Tang · 2024 · IEICE Transactions on Information and Systems
92. Detecting Praising Behavior Based on Multimodal Information in Remote Dialogue
    Toshiki Onishi, Asahi Ogushi, Shunichi Kinoshita, Ryo Ishii, Atsushi Fukayama, Akihiro Miyata · 2025 · Journal of Information Processing
93. Prediction of Praising Skills Based on Multimodal Information
    Toshiki Onishi, Asahi Ogushi, Ryo Ishii, Atsushi Fukayama, Akihiro Miyata · 2024 · International Conference on Affective Computing and Intelligent Interaction and workshops
94. Evaluation of sampling rate effect on deception detection performance with audio features
    Fahad Abdulridha, Baraa Munqith Albaker · 2025 · AIP conference proceedings
95. Emotion Recognition using Speech Processing
    Dwarika, Sudhanshu Shekhar Dadsena, Nikita Rawat · 2025
96. Speech-Based Emotion Recognition Using Acoustic Features and Neural Networks
    S. Thirushika, R. Shanmuga Priya, V. Udith · 2025 · International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
97. Performance-weighted ensemble learning for detecting patients with FTD and ALS from brief reading speech
    Yuki Ito, Reiko Ohdake, Shōhei Kato, Michihito Masuda, Maki Suzuki, Hiroyuki Watanabe, Takuto Sakuma, Kazuhiro Ishibashi, Aya Ogura, Kazuhiro Hara et al. · 2025 · Research Square
98. Advancements and Challenges in Emotion Extraction from Speech: A PRISMA-Guided Systematic Review of Machine and Deep Learning Technique
    Suryakant Tyagi, Sándor Szénási · 2025 · Mechanisms and machine science
99. EmoTrack: Intelligent Hiring with Data and Emotion Detection
    Piyush Kushe, Suyash Palkar, Omkar Pashte, Megha Trivedi, Anil M. Hingmire · 2025 · International Conference for Emerging Technology (INCET)
100. A Scoping Review on the Use of Voice Biomarkers for Emotional Assessment
     Riccardo Sartori, Francesca Marinaro, Francesco Tommasi, Andrea Buccoliero, Mattia Zene, Syed Adil Hussain Shah, Andrea Ceschi · 2025 · European Journal of Psychological Assessment