The eNTERFACE'05 Audio-Visual Emotion Database
ICDEW '06 Proceedings of the 22nd International Conference on Data Engineering Workshops
ASR for emotional speech: Clarifying the issues and enhancing performance
Neural Networks - Special issue: Emotion and brain
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
On the Necessity and Feasibility of Detecting a Driver's Emotional State While Driving
ACII '07 Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evidence Theory-Based Multimodal Emotion Recognition
MMM '09 Proceedings of the 15th International Multimedia Modeling Conference on Advances in Multimedia Modeling
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Image and Vision Computing
Computer Speech and Language
Speech Dereverberation
Speech Emotion Analysis in Noisy Real-World Environment
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies
IEEE Transactions on Affective Computing
On the impact of children's emotional speech on acoustic and language models
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on atypical speech
Using artificially reverberated training data in distant-talking ASR
TSD'05 Proceedings of the 8th international conference on Text, Speech and Dialogue
A study of speech emotion recognition and its application to mobile services
UIC'07 Proceedings of the 4th international conference on Ubiquitous Intelligence and Computing
Paralinguistics in speech and language-State-of-the-art and the challenge
Computer Speech and Language
Improving generalisation and robustness of acoustic affect recognition
Proceedings of the 14th ACM international conference on Multimodal interaction
Ten recent trends in computational paralinguistics
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
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Little is known about the impact of reverberation on performance of running speaker state classification systems. This study thus aims to approach the topic by measuring effects on a state-of-the-art engine with consideration of six public room impulse responses for convolution of the affective speech signals of three standard datasets comprising of emotion and interest. Speech data thereby is given by this year's INTERSPEECH Paralinguistic Challenge corpus TUM AVIC and the frequently used Berlin and eNTERFACE sets. The room impulse responses comprise rooms in private apartments, chapels, a factory hall, and a van. Speaker independent performance after speaker adaptation is investigated. To cope with reverberation, matched condition learning and acoustic space adaptation are considered as efficient means. By that a report is provided on suitability of feature types given the type of impulse response. In the result almost all occurring corruption arising from reverberation can be restored, yet the general impact varies with the type of room or acoustic environment.