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LREC
2010
188views Education» more  LREC 2010»
13 years 10 months ago
Example-Based Automatic Phonetic Transcription
Current state-of-the-art systems for automatic phonetic transcription (APT) are mostly phone recognizers based on Hidden Markov models (HMMs). We present a different approach for ...
Christina Leitner, Martin Schickbichler, Stefan Pe...
RECOMB
2003
Springer
14 years 9 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
TASLP
2008
140views more  TASLP 2008»
13 years 8 months ago
Acoustic Chord Transcription and Key Extraction From Audio Using Key-Dependent HMMs Trained on Synthesized Audio
We describe an acoustic chord transcription system that uses symbolic data to train hidden Markov models and gives best-of-class frame-level recognition results. We avoid the extre...
Kyogu Lee, Malcolm Slaney
ICPR
2010
IEEE
13 years 7 months ago
Patch-Based Similarity HMMs for Face Recognition with a Single Reference Image
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...
Ngoc-Son Vu, Alice Caplier
CVPR
1998
IEEE
14 years 11 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov