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» Hidden Markov Modelling Techniques for Haplotype Analysis
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DAGM
2010
Springer
13 years 5 months ago
Classification of Swimming Microorganisms Motion Patterns in 4D Digital In-Line Holography Data
Digital in-line holography is a 3D microscopy technique which has gotten an increasing amount of attention over the last few years in the fields of microbiology, medicine and physi...
Laura Leal-Taixé, Matthias Heydt, Sebastian...
CSL
2010
Springer
13 years 8 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
ICASSP
2011
IEEE
12 years 11 months ago
Very low bit-rate F0 coding for phonetic vocoder using MSD-HMM with quantized F0 context
This paper presents a very low bit-rate F0 coding technique for speaker-dependent phonetic vocoder based on hidden Markov model (HMM) using quantized F0 context. In the proposed t...
Takashi Nose, Takao Kobayashi
BMCBI
2008
131views more  BMCBI 2008»
13 years 8 months ago
Major copy proportion analysis of tumor samples using SNP arrays
Background: Single nucleotide polymorphisms (SNPs) are the most common genetic variations in the human genome and are useful as genomic markers. Oligonucleotide SNP microarrays ha...
Cheng Li, Rameen Beroukhim, Barbara A. Weir, Wendy...
LREC
2008
174views Education» more  LREC 2008»
13 years 9 months ago
Automatic Phoneme Segmentation with Relaxed Textual Constraints
Speech synthesis by unit selection requires the segmentation of a large single speaker high quality recording. Automatic speech recognition techniques, e.g. Hidden Markov Models (...
Pierre Lanchantin, Andrew C. Morris, Xavier Rodet,...