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» Continuous speech recognition with a TF-IDF acoustic model
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ICASSP
2010
IEEE
13 years 6 months ago
Variational nonparametric Bayesian Hidden Markov Model
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Nan Ding, Zhijian Ou
ISMIR
2004
Springer
236views Music» more  ISMIR 2004»
13 years 11 months ago
Rhythm and Tempo Recognition of Music Performance from a Probabilistic Approach
This paper concerns both rhythm recognition and tempo analysis of expressive music performance based on a probabilistic approach. In rhythm recognition, the modern continuous spee...
Haruto Takeda, Takuya Nishimoto, Shigeki Sagayama
RTSS
2007
IEEE
14 years 13 hour ago
An Energy-Driven Design Methodology for Distributing DSP Applications across Wireless Sensor Networks
Wireless sensor network (WSN) applications have been studied extensively in recent years. Such applications involve resource-limited embedded sensor nodes that have small size and...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
LREC
2010
163views Education» more  LREC 2010»
13 years 7 months ago
LIPS: A Tool for Predicting the Lexical Isolation Point of a Word
We present LIPS (Lexical Isolation Point Software), a tool for accurate lexical isolation point (IP) prediction in recordings of speech. The IP is the point in time in which a wor...
Andrew Thwaites, Jeroen Geertzen, William D. Marsl...
CVPR
1998
IEEE
14 years 7 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