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» Adaptive context recognition based on audio signal
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ICASSP
2008
IEEE
14 years 2 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ICASSP
2008
IEEE
14 years 2 months ago
Contextually adaptive signal representation using conditional principal component analysis
The conventional method of generating a basis that is optimally adapted (in MSE) for representation of an ensemble of signals is Principal Component Analysis (PCA). A more ambitio...
Rosa M. Figueras i Ventura, Umesh Rajashekar, Zhou...
ICA
2010
Springer
13 years 8 months ago
Adaptive Segmentation and Separation of Determined Convolutive Mixtures under Dynamic Conditions
Abstract. In this paper, we propose a method for blind source separation (BSS) of convolutive audio recordings with short blocks of stationary sources, i.e. dynamically changing so...
Benedikt Loesch, Bin Yang
TMM
2010
141views Management» more  TMM 2010»
13 years 2 months ago
Speech Emotion Analysis: Exploring the Role of Context
Automated analysis of human affective behavior has attracted increasing attention in recent years. With the research shift toward spontaneous behavior, many challenges have come to...
Ashish Tawari, Mohan M. Trivedi
ICDAR
2011
IEEE
12 years 7 months ago
Symbol Recognition by Multiresolution Shape Context Matching
—We present a multiresolution scheme for symbol representation and recognition based on statistical shape features. We define a symbol as a set of shape points, each of which is...
Feng Su, Tong Lu, Ruoyu Yang