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NIPS
1996
13 years 8 months ago
Adaptively Growing Hierarchical Mixtures of Experts
We propose a novelapproach to automaticallygrowing and pruning Hierarchical Mixtures of Experts. The constructive algorithm proposed here enables large hierarchies consisting of s...
Jürgen Fritsch, Michael Finke, Alex Waibel
IJISTA
2007
124views more  IJISTA 2007»
13 years 7 months ago
Incremental learning for spoken affect classification and its application in call-centres
: This paper introduces a system for real-time incremental learning in a call-centre environment. The classifier used is a Support Vector Machine (SVM) and it is applied to telepho...
Donn Morrison, Ruili Wang, W. L. Xu, Liyanage C. D...
TASLP
2008
133views more  TASLP 2008»
13 years 6 months ago
Minimum Mean-Squared Error Estimation of Mel-Frequency Cepstral Coefficients Using a Novel Distortion Model
In this paper, a new method for statistical estimation of Mel-frequency cepstral coefficients (MFCCs) in noisy speech signals is proposed. Previous research has shown that model-ba...
Kevin M. Indrebo, Richard J. Povinelli, Michael T....
LREC
2008
99views Education» more  LREC 2008»
13 years 9 months ago
RUNDKAST: an Annotated Norwegian Broadcast News Speech Corpus
This paper describes the Norwegian broadcast news speech corpus RUNDKAST. The corpus contains recordings of approximately 77 hours of broadcast news shows from the Norwegian broad...
Ingunn Amdal, Ole Morten Strand, Jørn Almbe...
CSL
2010
Springer
13 years 7 months ago
Speech segmentation using regression fusion of boundary predictions
In the present work we study the appropriateness of a number of linear and non-linear regression methods, employed on the task of speech segmentation, for combining multiple phone...
Iosif Mporas, Todor Ganchev, Nikos Fakotakis