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» Detecting Occlusion for Hidden Markov Modeled Shapes
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ICANN
2007
Springer
14 years 1 months ago
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
Abstract. Keyword spotting is a detection task consisting in discovering the presence of specific spoken words in unconstrained speech. The majority of keyword spotting systems ar...
Santiago Fernández, Alex Graves, Jürge...
ISWC
2005
IEEE
14 years 1 months ago
Recognizing Mimicked Autistic Self-Stimulatory Behaviors Using HMMs
Children with autism often exhibit self-stimulatory (or “stimming”) behaviors. We present an on-body sensing system for continuous recognition of stimming activity. By creatin...
Tracy L. Westeyn, Kristin Vadas, Xuehai Bian, Thad...
SPEECH
2008
203views more  SPEECH 2008»
13 years 7 months ago
A comparison of grapheme and phoneme-based units for Spanish spoken term detection
The ever-increasing volume of audio data available online through the world wide web means that automatic methods for indexing and search are becoming essential. Hidden Markov mod...
Javier Tejedor, Dong Wang, Joe Frankel, Simon King...
ISVC
2007
Springer
14 years 1 months ago
A Vision-Based Architecture for Intent Recognition
Abstract. Understanding intent is an important aspect of communication among people and is an essential component of the human cognitive system. This capability is particularly rel...
Alireza Tavakkoli, Richard Kelley, Christopher Kin...
ICASSP
2008
IEEE
14 years 1 months ago
Deformable trellis: open contour tracking in bio-image sequences
This paper presents an open contour tracking method that employs an arc-emission Hidden Markov Model (HMM). The algorithm encodes the shape information of the structure in a spati...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...