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ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
16 years 2 days ago
Multi-sensory speech processing: incorporating automatically extracted hidden dynamic information
We describe a novel technique for multi-sensory speech processing for enhancing noisy speech and for improved noiserobust speech recognition. Both air- and bone-conductive microph...
Amarnag Subramanya, Li Deng, Zicheng Liu, Zhengyou...
ICPR
2008
IEEE
16 years 27 days ago
Discriminative HMM training with GA for handwritten word recognition
This paper presents a recognition system for isolated handwritten Bangla words, with a fixed lexicon, using a left-right Hidden Markov Model (HMM). A stochastic search method, nam...
Tapan Kumar Bhowmik, Swapan K. Parui, Utpal Roy
ASAP
2007
IEEE
122views Hardware» more  ASAP 2007»
16 years 25 days ago
Parallelizing HMMER for Hardware Acceleration on FPGAs
Profile based Hidden Markov Model is a widely used tool in bioinformatics. While being very valuable to biologists, it is extremely compute intensive and suffers from prohibitive...
Steven Derrien, Patrice Quinton
ACII
2007
Springer
16 years 20 days ago
SuperDreamCity: An Immersive Virtual Reality Experience That Responds to Electrodermal Activity
In this paper we describe an artistic exhibition that took place in our highly-immersive virtual-reality laboratory. We have allowed visitors to explore a virtual landscape based o...
Doron Friedman, Kana Suji, Mel Slater
IROS
2006
IEEE
141views Robotics» more  IROS 2006»
16 years 15 days ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models...
Daniel Aarno, Danica Kragic