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ICMCS
2005
IEEE
133views Multimedia» more  ICMCS 2005»
15 years 11 months 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 12 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 9 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 4 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»
15 years 12 months 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