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ICPR
2000
IEEE
14 years 6 months ago
A Markov Random Field Model for Automatic Speech Recognition
Speech can be represented as a time/frequency distribution of energy using a multi-band filter bank. A Markov random field model, which takes into account the possible time asynch...
Gérard Chollet, Guillaume Gravier, Marc Sig...
IPPS
2008
IEEE
13 years 11 months ago
Design and optimization of a distributed, embedded speech recognition system
In this paper, we present the design and implementation of a distributed sensor network application for embedded, isolated-word, real-time speech recognition. In our system design...
Chung-Ching Shen, William Plishker, Shuvra S. Bhat...
AND
2010
13 years 3 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
TASLP
2008
115views more  TASLP 2008»
13 years 5 months ago
Recognition of Dialogue Acts in Multiparty Meetings Using a Switching DBN
Abstract--This paper is concerned with the automatic recognition of dialogue acts (DAs) in multiparty conversational speech. We present a joint generative model for DA recognition ...
Alfred Dielmann, Steve Renals
NAACL
2003
13 years 6 months ago
Implicit Trajectory Modeling through Gaussian Transition Models for Speech Recognition
It is well known that frame independence assumption is a fundamental limitation of current HMM based speech recognition systems. By treating each speech frame independently, HMMs ...
Hua Yu, Tanja Schultz