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INTERSPEECH
2010
13 years 2 months ago
Dialect recognition using a phone-GMM-supervector-based SVM kernel
In this paper, we introduce a new approach to dialect recognition which relies on the hypothesis that certain phones are realized differently across dialects. Given a speaker'...
Fadi Biadsy, Julia Hirschberg, Michael Collins
NIPS
2001
13 years 9 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
ICASSP
2008
IEEE
14 years 2 months ago
A covariance kernel for SVM language recognition
Discriminative training for language recognition has been a key tool for improving system performance. In addition, recognition directly from shifted-delta cepstral features has p...
William M. Campbell
ICASSP
2011
IEEE
12 years 11 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
ICFCA
2009
Springer
13 years 5 months ago
A Concept Lattice-Based Kernel for SVM Text Classification
Abstract. Standard Support Vector Machines (SVM) text classification relies on bag-of-words kernel to express the similarity between documents. We show that a document lattice can ...
Claudio Carpineto, Carla Michini, Raffaele Nicolus...